percypeng5221 commited on
Commit
988dab4
·
verified ·
1 Parent(s): e82a7d3

Add SimReady package: Lite3

Browse files
Lite3/.metadata/Lite3_benchmark.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "schema_version": "1.0",
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  "asset": "Lite3",
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- "run_timestamp": "2026-10-23T01:23:07Z",
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  "passed": false,
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  "results": [
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  {
@@ -10,11 +10,11 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 6.27,
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  "message": "",
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  "metrics": {
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  "_timing_capture_frame_total_s": {
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  "_timing_capture_frame_count": {
@@ -22,11 +22,11 @@
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  "unit": null
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  },
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  "_timing_capture_frame_avg_ms": {
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- "value": 124.1,
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  "unit": null
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  },
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  "_timing_encode_video_total_s": {
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- "value": 1.507,
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  "unit": null
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  },
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  "_timing_encode_video_count": {
@@ -42,11 +42,11 @@
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  "unit": null
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  },
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  "culling_xz_max_diff": {
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- "value": 5.3e-05,
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  "unit": null
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  },
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  "culling_xz_mean_diff": {
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- "value": 1.5e-05,
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  "unit": null
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  },
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  "culling_xz_worst_angle": {
@@ -132,11 +132,11 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 6.203,
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  "message": "",
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  "metrics": {
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  "_timing_capture_frame_total_s": {
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- "value": 2.001,
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  "unit": null
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  },
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  "_timing_capture_frame_count": {
@@ -144,11 +144,11 @@
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  "unit": null
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  "_timing_capture_frame_avg_ms": {
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- "value": 125.08,
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  "unit": null
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  },
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  "_timing_encode_video_total_s": {
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- "value": 1.073,
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  "unit": null
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  },
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  "_timing_encode_video_count": {
@@ -164,15 +164,15 @@
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  "unit": null
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  },
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  "culling_xz_max_diff": {
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- "value": 0.0001,
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  "unit": null
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  },
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  "culling_xz_mean_diff": {
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- "value": 2.4e-05,
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  "unit": null
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  },
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  "culling_xz_worst_angle": {
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- "value": 270.0,
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  "unit": null
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  },
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  "culling_xz_passed": {
@@ -254,7 +254,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 55.936,
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  "message": "",
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  "metrics": {
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  "dgv_joints_tested": {
@@ -270,19 +270,19 @@
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  },
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  "_timing_capture_frame_total_s": {
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- "value": 19.127,
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  },
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  "_timing_capture_frame_count": {
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- "value": 87,
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  "unit": null
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  },
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  "_timing_capture_frame_avg_ms": {
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- "value": 219.85,
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  "unit": null
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  },
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  "_timing_encode_video_total_s": {
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- "value": 3.082,
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  "unit": null
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  },
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  "_timing_encode_video_count": {
@@ -298,81 +298,15 @@
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  "unit": null
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  },
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  "dgv_joints_passed": {
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- "value": 6,
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  "unit": null
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  },
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  "dgv_joints_failed": {
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- "value": 6,
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  "unit": null
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  }
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  },
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- "kit_logs": [
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: Traceback (most recent call last):"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
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- },
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- {
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- "level": "error",
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- "channel": "omni.kit.app._impl",
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- "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
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- }
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- ]
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  },
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  {
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  "test_name": "drive_gain_validation",
@@ -380,7 +314,7 @@
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  "engine_version": "",
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  "status": "fail",
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  "passed": false,
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- "duration": 914.687,
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  "message": "Test exceeded its declared max_duration of 300 seconds; the engine session was terminated (retries exhausted).",
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  "metrics": {},
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  "kit_logs": []
@@ -391,7 +325,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 208.161,
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  "message": "",
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  "metrics": {
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  "eff_joints_with_candidates": {
@@ -407,7 +341,7 @@
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- "value": 52.734,
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  "_timing_capture_frame_count": {
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  "_timing_capture_frame_avg_ms": {
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- "value": 183.1,
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  "_timing_encode_video_total_s": {
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- "value": 9.341,
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  "unit": null
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  "_timing_encode_video_count": {
@@ -447,16 +381,82 @@
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  "unit": null
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  }
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  },
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- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  {
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  "test_name": "effort_limit",
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  "engine": "isaac_sim_newton",
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  "engine_version": "6.1.0.0",
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- "status": "pass",
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- "passed": true,
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- "duration": 280.926,
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- "message": "",
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  "metrics": {
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  "eff_joints_with_candidates": {
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  "value": 12,
@@ -471,19 +471,19 @@
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  "_timing_capture_frame_total_s": {
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  "unit": null
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  "_timing_capture_frame_count": {
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- "value": 288,
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  "unit": null
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  "_timing_capture_frame_avg_ms": {
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- "value": 193.35,
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  "unit": null
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  },
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  "_timing_encode_video_total_s": {
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- "value": 9.986,
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  "unit": null
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  },
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  "_timing_encode_video_count": {
@@ -503,11 +503,11 @@
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  "eff_joints_passed": {
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- "value": 12,
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  "eff_joints_failed": {
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- "value": 0,
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  },
@@ -585,7 +585,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 388.144,
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  "message": "",
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  "metrics": {
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  "frs_total_dofs": {
@@ -605,11 +605,11 @@
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  "unit": null
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  "frs_bbox_baseline_volume": {
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- "value": 0.02744689791106304,
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  "unit": null
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@@ -617,11 +617,11 @@
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  "_timing_capture_frame_avg_ms": {
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  "_timing_encode_video_count": {
@@ -653,7 +653,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "pass",
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  "passed": true,
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- "duration": 36.47,
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  "message": "",
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  "metrics": {
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  "ground_drop_initial_z_min": {
@@ -669,19 +669,19 @@
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- "value": 61,
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  "_timing_capture_frame_avg_ms": {
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  "_timing_encode_video_total_s": {
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  "_timing_encode_video_count": {
@@ -717,7 +717,7 @@
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  "ground_drop_rest_time": {
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- "value": 3.554,
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  "unit": null
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  }
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  },
@@ -727,37 +727,37 @@
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  "test_name": "ground_drop",
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  "engine": "isaac_sim_newton",
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  "engine_version": "6.1.0.0",
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- "status": "fail",
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- "passed": false,
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- "duration": 136.099,
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- "message": "Ground drop FAILED: Object touched the ground but never came to rest within 8.0 seconds after touch. Object is oscillating, sliding, or spinning indefinitely.\n\nHow to fix:\n- Check mass properties. Unrealistic mass causes excessive bouncing; set mass proportional to real-world equivalent.\n- Check center of mass. If outside the collision mesh, the object wobbles indefinitely.\n- Check for rounded base geometry. Perfectly round bottoms may never fully rest; consider flattening the base collision mesh.\n- Check for overlapping collision meshes causing perpetual forces.\n- Review the video. Jittering often indicates solver instability -- try simplifying collision mesh to convexHull.",
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  "metrics": {
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  "ground_drop_initial_z_min": {
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- "value": 0.7657,
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  "unit": null
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  },
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  "ground_drop_bbox_height": {
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- "value": 0.4923,
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  "unit": null
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  },
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  "ground_drop_effective_fall": {
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- "value": 0.6657,
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  "unit": null
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  "_timing_capture_frame_avg_ms": {
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- "value": 199.42,
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  "_timing_encode_video_total_s": {
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  "_timing_encode_video_count": {
@@ -781,19 +781,89 @@
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  "unit": null
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  },
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  "ground_drop_stable": {
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  "ground_drop_passed": {
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  "ground_drop_touch_time": {
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- "value": 0.358,
 
 
 
 
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  },
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- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  {
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  "test_name": "ik_target_reach",
@@ -801,7 +871,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "skipped",
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  "passed": false,
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- "duration": 1.589,
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  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/Lite3/simready_usd/Lite3.usd'\n isaac:robotType='LEGGED'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
806
  "metrics": {},
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  "kit_logs": []
@@ -812,7 +882,7 @@
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  "engine_version": "6.1.0.0",
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  "status": "skipped",
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  "passed": false,
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- "duration": 8.445,
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  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/Lite3/simready_usd/Lite3.usd'\n isaac:robotType='LEGGED'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
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  "metrics": {},
818
  "kit_logs": []
@@ -823,23 +893,23 @@
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  "engine_version": "6.1.0.0",
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  "status": "fail",
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  "passed": false,
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- "duration": 173.205,
827
- "message": "JIK: in-reach pass rate 0.00 below minimum 0.40 -- the asset's\narticulation could not reach enough generated targets to pass.\n\nWhat the test found:\n - 0 / 5 in-reach targets passed.\n - 0 failed because the DLS solver could not find a joint\n solution (red sphere in the captured video).\n - 5 failed because the solver succeeded but the PD drives did\n not track the precomputed solution to within tolerance\n (orange sphere).\n - Worst position error: 1.3856 m (tolerance 0.050 m).\n - Worst orientation error: 102.13 deg (tolerance 10.00 deg).\n - End-effector under test: /World/AssetRoot/Asset/HR_FOOT.\n - Failed targets: target_0, target_1, target_2, target_3, target_4.\n\nFIX -- triage in this order:\n\n 1) Open the captured video. Targets coloured RED never had a\n joint solution. Targets coloured ORANGE had a solution but\n the robot did not get there -- a drive-tuning problem.\n\n 2) For ORANGE (motion failed) on a `PhysicsRevoluteJoint`,\n inspect drive stiffness / damping on each joint. Industrial\n arms typically need:\n\n def PhysicsRevoluteJoint \"joint_3\" (\n prepend apiSchemas = [\"PhysicsDriveAPI:angular\"]\n )\n {\n # Example values for a 25 kg-link arm; scale with\n # link inertia. Stiffness too low -> drift; too\n # high -> oscillation.\n float drive:angular:physics:stiffness = 10000.0\n float drive:angular:physics:damping = 1000.0\n float drive:angular:physics:maxForce = 1000.0\n }\n\n 3) For RED (solver failed), the Jacobian is singular or the\n joint limits are too tight. Verify each joint declares\n non-zero limits:\n\n float physics:lowerLimit = -180.0\n float physics:upperLimit = 180.0\n\n and that the EE link (/World/AssetRoot/Asset/HR_FOOT) is the LAST link in the chain --\n a tip link with no preceding revolute joint cannot be\n reached by a Jacobian solver.\n\n 4) Asset fix: Tune drive stiffness/damping so each joint can hold its\n commanded position under JIK's smoothstep motion -- start\n by doubling stiffness on the joint(s) showing the largest\n tracking error in the video.\n\n 5) Engine note: JIK uses a damped least-squares Jacobian solver with USD\n forward kinematics; ensure the asset's joints are exposed\n in the SingleArticulation's `dof_names`.\n\n 6) TEST-CONFIG escape hatches (use only when the asset is\n genuinely correct but the defaults are wrong for it):\n - Reduce `target_radius_factors` (default (0.5, 0.7, 0.9))\n when the bbox-based reach estimate overshoots the actual\n workspace (common on non-extended / folded arms).\n - Loosen `position_tolerance` / `orientation_tolerance_deg`\n (defaults 0.05 m / 10 deg) when the asset's PD drive has\n intentional steady-state error.\n - Increase `max_solver_iterations` (default 50) when DLS\n convergence is slow on long-armed or heavily damped\n robots.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/articulation.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/joint-body-target-exists.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/hierarchy/requirements/kinematic-chain-hierarchy.md\n Example: sample_content/common_assets/robots_general/Franka/Franka.usda\n (search for: PhysicsArticulationRootAPI, PhysicsRevoluteJoint)",
828
  "metrics": {
829
  "jik_robot_reach": {
830
- "value": 0.4746,
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  "unit": null
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  },
833
  "jik_target_radius": {
834
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  "jik_base_position_x": {
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  "jik_base_position_y": {
842
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  "jik_base_position_z": {
@@ -847,7 +917,7 @@
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849
  "jik_max_observed_reach": {
850
- "value": 0.4077,
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  "unit": null
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  },
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  "jik_distinct_reachable_targets": {
@@ -855,15 +925,15 @@
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857
  "jik_bbox_baseline_volume": {
858
- "value": 0.027556,
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  "unit": null
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  },
861
  "jik_total_iterations": {
862
- "value": 316,
863
  "unit": null
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865
  "_timing_capture_frame_total_s": {
866
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  "_timing_capture_frame_count": {
@@ -871,11 +941,11 @@
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  "_timing_capture_frame_avg_ms": {
874
- "value": 226.23,
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  "unit": null
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  "_timing_encode_video_total_s": {
878
- "value": 3.128,
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  "unit": null
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  },
881
  "_timing_encode_video_count": {
@@ -935,11 +1005,11 @@
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  "unit": null
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  },
937
  "jik_max_position_error_m": {
938
- "value": 1.385633,
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  "unit": null
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  },
941
  "jik_max_orientation_error_deg": {
942
- "value": 102.1276,
943
  "unit": null
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  },
945
  "jik_pass_rate": {
@@ -951,7 +1021,73 @@
951
  "unit": null
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  }
953
  },
954
- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
955
  },
956
  {
957
  "test_name": "joint_movement",
@@ -959,11 +1095,11 @@
959
  "engine_version": "6.1.0.0",
960
  "status": "pass",
961
  "passed": true,
962
- "duration": 61.825,
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  "message": "",
964
  "metrics": {
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  "_timing_capture_frame_count": {
@@ -971,11 +1107,11 @@
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974
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981
  "_timing_encode_video_count": {
@@ -991,11 +1127,11 @@
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  "unit": null
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  "jm_joint_FL_HipX_joint_rot_deg": {
994
- "value": 29.972,
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  "unit": null
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  },
997
  "jm_joint_FL_HipX_joint_trans_pct": {
998
- "value": 61.21,
999
  "unit": null
1000
  },
1001
  "jm_joint_FL_HipX_joint_bbox_m": {
@@ -1007,15 +1143,15 @@
1007
  "unit": null
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  },
1009
  "jm_joint_FL_HipY_joint_rot_deg": {
1010
- "value": 152.97,
1011
  "unit": null
1012
  },
1013
  "jm_joint_FL_HipY_joint_trans_pct": {
1014
- "value": 134.48,
1015
  "unit": null
1016
  },
1017
  "jm_joint_FL_HipY_joint_bbox_m": {
1018
- "value": 0.3053,
1019
  "unit": null
1020
  },
1021
  "jm_joint_FL_HipY_joint_pct_of_travel": {
@@ -1023,27 +1159,27 @@
1023
  "unit": null
1024
  },
1025
  "jm_joint_FL_Knee_joint_rot_deg": {
1026
- "value": 130.977,
1027
  "unit": null
1028
  },
1029
  "jm_joint_FL_Knee_joint_trans_pct": {
1030
- "value": 210.34,
1031
  "unit": null
1032
  },
1033
  "jm_joint_FL_Knee_joint_bbox_m": {
1034
- "value": 0.3112,
1035
  "unit": null
1036
  },
1037
  "jm_joint_FL_Knee_joint_pct_of_travel": {
1038
- "value": 81.9,
1039
  "unit": null
1040
  },
1041
  "jm_joint_FR_HipX_joint_rot_deg": {
1042
- "value": 29.961,
1043
  "unit": null
1044
  },
1045
  "jm_joint_FR_HipX_joint_trans_pct": {
1046
- "value": 39.06,
1047
  "unit": null
1048
  },
1049
  "jm_joint_FR_HipX_joint_bbox_m": {
@@ -1055,15 +1191,15 @@
1055
  "unit": null
1056
  },
1057
  "jm_joint_FR_HipY_joint_rot_deg": {
1058
- "value": 152.956,
1059
  "unit": null
1060
  },
1061
  "jm_joint_FR_HipY_joint_trans_pct": {
1062
- "value": 133.94,
1063
  "unit": null
1064
  },
1065
  "jm_joint_FR_HipY_joint_bbox_m": {
1066
- "value": 0.3053,
1067
  "unit": null
1068
  },
1069
  "jm_joint_FR_HipY_joint_pct_of_travel": {
@@ -1071,27 +1207,27 @@
1071
  "unit": null
1072
  },
1073
  "jm_joint_FR_Knee_joint_rot_deg": {
1074
- "value": 130.976,
1075
  "unit": null
1076
  },
1077
  "jm_joint_FR_Knee_joint_trans_pct": {
1078
- "value": 175.35,
1079
  "unit": null
1080
  },
1081
  "jm_joint_FR_Knee_joint_bbox_m": {
1082
- "value": 0.3112,
1083
  "unit": null
1084
  },
1085
  "jm_joint_FR_Knee_joint_pct_of_travel": {
1086
- "value": 81.9,
1087
  "unit": null
1088
  },
1089
  "jm_joint_HL_HipX_joint_rot_deg": {
1090
- "value": 29.957,
1091
  "unit": null
1092
  },
1093
  "jm_joint_HL_HipX_joint_trans_pct": {
1094
- "value": 38.74,
1095
  "unit": null
1096
  },
1097
  "jm_joint_HL_HipX_joint_bbox_m": {
@@ -1103,15 +1239,15 @@
1103
  "unit": null
1104
  },
1105
  "jm_joint_HL_HipY_joint_rot_deg": {
1106
- "value": 152.967,
1107
  "unit": null
1108
  },
1109
  "jm_joint_HL_HipY_joint_trans_pct": {
1110
- "value": 106.93,
1111
  "unit": null
1112
  },
1113
  "jm_joint_HL_HipY_joint_bbox_m": {
1114
- "value": 0.3053,
1115
  "unit": null
1116
  },
1117
  "jm_joint_HL_HipY_joint_pct_of_travel": {
@@ -1119,31 +1255,31 @@
1119
  "unit": null
1120
  },
1121
  "jm_joint_HL_Knee_joint_rot_deg": {
1122
- "value": 130.975,
1123
  "unit": null
1124
  },
1125
  "jm_joint_HL_Knee_joint_trans_pct": {
1126
- "value": 192.75,
1127
  "unit": null
1128
  },
1129
  "jm_joint_HL_Knee_joint_bbox_m": {
1130
- "value": 0.3112,
1131
  "unit": null
1132
  },
1133
  "jm_joint_HL_Knee_joint_pct_of_travel": {
1134
- "value": 81.9,
1135
  "unit": null
1136
  },
1137
  "jm_joint_HR_HipX_joint_rot_deg": {
1138
- "value": 29.976,
1139
  "unit": null
1140
  },
1141
  "jm_joint_HR_HipX_joint_trans_pct": {
1142
- "value": 55.69,
1143
  "unit": null
1144
  },
1145
  "jm_joint_HR_HipX_joint_bbox_m": {
1146
- "value": 0.1438,
1147
  "unit": null
1148
  },
1149
  "jm_joint_HR_HipX_joint_pct_of_travel": {
@@ -1151,15 +1287,15 @@
1151
  "unit": null
1152
  },
1153
  "jm_joint_HR_HipY_joint_rot_deg": {
1154
- "value": 152.959,
1155
  "unit": null
1156
  },
1157
  "jm_joint_HR_HipY_joint_trans_pct": {
1158
- "value": 92.83,
1159
  "unit": null
1160
  },
1161
  "jm_joint_HR_HipY_joint_bbox_m": {
1162
- "value": 0.3053,
1163
  "unit": null
1164
  },
1165
  "jm_joint_HR_HipY_joint_pct_of_travel": {
@@ -1167,19 +1303,19 @@
1167
  "unit": null
1168
  },
1169
  "jm_joint_HR_Knee_joint_rot_deg": {
1170
- "value": 130.978,
1171
  "unit": null
1172
  },
1173
  "jm_joint_HR_Knee_joint_trans_pct": {
1174
- "value": 172.08,
1175
  "unit": null
1176
  },
1177
  "jm_joint_HR_Knee_joint_bbox_m": {
1178
- "value": 0.3112,
1179
  "unit": null
1180
  },
1181
  "jm_joint_HR_Knee_joint_pct_of_travel": {
1182
- "value": 81.9,
1183
  "unit": null
1184
  },
1185
  "jm_joints_total": {
@@ -1243,7 +1379,73 @@
1243
  "unit": null
1244
  }
1245
  },
1246
- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1247
  },
1248
  {
1249
  "test_name": "joint_movement",
@@ -1251,11 +1453,11 @@
1251
  "engine_version": "6.1.0.0",
1252
  "status": "pass",
1253
  "passed": true,
1254
- "duration": 55.385,
1255
  "message": "",
1256
  "metrics": {
1257
  "_timing_capture_frame_total_s": {
1258
- "value": 9.385,
1259
  "unit": null
1260
  },
1261
  "_timing_capture_frame_count": {
@@ -1263,11 +1465,11 @@
1263
  "unit": null
1264
  },
1265
  "_timing_capture_frame_avg_ms": {
1266
- "value": 208.56,
1267
  "unit": null
1268
  },
1269
  "_timing_encode_video_total_s": {
1270
- "value": 1.697,
1271
  "unit": null
1272
  },
1273
  "_timing_encode_video_count": {
@@ -1510,32 +1712,98 @@
1510
  "value": "passed",
1511
  "unit": null
1512
  },
1513
- "jm_joint_HL_HipX_joint_status": {
1514
- "value": "passed",
1515
- "unit": null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1516
  },
1517
- "jm_joint_HL_HipY_joint_status": {
1518
- "value": "passed",
1519
- "unit": null
 
1520
  },
1521
- "jm_joint_HL_Knee_joint_status": {
1522
- "value": "passed",
1523
- "unit": null
 
1524
  },
1525
- "jm_joint_HR_HipX_joint_status": {
1526
- "value": "passed",
1527
- "unit": null
 
1528
  },
1529
- "jm_joint_HR_HipY_joint_status": {
1530
- "value": "passed",
1531
- "unit": null
 
1532
  },
1533
- "jm_joint_HR_Knee_joint_status": {
1534
- "value": "passed",
1535
- "unit": null
 
 
 
 
 
 
1536
  }
1537
- },
1538
- "kit_logs": []
1539
  },
1540
  {
1541
  "test_name": "light_response",
@@ -1543,11 +1811,11 @@
1543
  "engine_version": "6.1.0.0",
1544
  "status": "pass",
1545
  "passed": true,
1546
- "duration": 11.437,
1547
  "message": "",
1548
  "metrics": {
1549
  "_timing_capture_frame_total_s": {
1550
- "value": 3.746,
1551
  "unit": null
1552
  },
1553
  "_timing_capture_frame_count": {
@@ -1555,11 +1823,11 @@
1555
  "unit": null
1556
  },
1557
  "_timing_capture_frame_avg_ms": {
1558
- "value": 124.88,
1559
  "unit": null
1560
  },
1561
  "_timing_encode_video_total_s": {
1562
- "value": 1.102,
1563
  "unit": null
1564
  },
1565
  "_timing_encode_video_count": {
@@ -1603,11 +1871,11 @@
1603
  "unit": null
1604
  },
1605
  "light_response_max_pair_change": {
1606
- "value": 0.738665,
1607
  "unit": null
1608
  },
1609
  "light_response_min_pair_change": {
1610
- "value": 0.016867,
1611
  "unit": null
1612
  }
1613
  },
@@ -1619,11 +1887,11 @@
1619
  "engine_version": "6.1.0.0",
1620
  "status": "pass",
1621
  "passed": true,
1622
- "duration": 11.632,
1623
  "message": "",
1624
  "metrics": {
1625
  "_timing_capture_frame_total_s": {
1626
- "value": 3.765,
1627
  "unit": null
1628
  },
1629
  "_timing_capture_frame_count": {
@@ -1631,11 +1899,11 @@
1631
  "unit": null
1632
  },
1633
  "_timing_capture_frame_avg_ms": {
1634
- "value": 125.51,
1635
  "unit": null
1636
  },
1637
  "_timing_encode_video_total_s": {
1638
- "value": 1.095,
1639
  "unit": null
1640
  },
1641
  "_timing_encode_video_count": {
@@ -1679,11 +1947,11 @@
1679
  "unit": null
1680
  },
1681
  "light_response_max_pair_change": {
1682
- "value": 0.737679,
1683
  "unit": null
1684
  },
1685
  "light_response_min_pair_change": {
1686
- "value": 0.017963,
1687
  "unit": null
1688
  }
1689
  },
@@ -1761,7 +2029,7 @@
1761
  "engine_version": "6.1.0.0",
1762
  "status": "skipped",
1763
  "passed": false,
1764
- "duration": 1.381,
1765
  "message": "MIM: no PhysxMimicJointAPI found on any joint under the asset prim.\n\n Found: 0 joints with PhysxMimicJointAPI applied\n Expected: at least one revolute or prismatic joint with\n PhysxMimicJointAPI:<axisToken> applied (rotX/rotY/rotZ\n or transX/transY/transZ)\n\nFIX (if your asset has coupled joints, e.g. a parallel-jaw gripper\nwhere the two finger joints must move together):\n 1. Pick the driven joint and call it the REFERENCE joint. Leave\n it with a normal drive (PhysicsDriveAPI or JointStateAPI).\n 2. On each FOLLOWER joint, apply PhysxMimicJointAPI keyed to that\n joint's physics:axis instance token (e.g. \"rotX\" for a\n revolute joint with physics:axis = \"X\").\n 3. Set physxMimicJoint:<axis>:gearing (non-zero) and\n physxMimicJoint:<axis>:referenceJoint pointing at the\n reference joint's prim path.\n 4. Both follower AND reference joints must have physics:lowerLimit\n and physics:upperLimit authored, and neither may have\n physics:excludeFromArticulation = true.\n\nPaste-ready USDA snippet (adapt paths, axis token, gearing sign,\nand limits to your asset):\n\n # The follower joint: applies PhysxMimicJointAPI keyed to the axis\n # token of the joint (rotX/rotY/rotZ for revolute, transX/transY/\n # transZ for prismatic). The instance name MUST match physics:axis.\n def PhysicsRevoluteJoint \"follower_joint\" (\n prepend apiSchemas = [\"PhysxMimicJointAPI:rotX\"]\n )\n {\n uniform token physics:axis = \"X\"\n rel physics:body0 = <./path/to/parent_link>\n rel physics:body1 = <./path/to/follower_link>\n float physics:lowerLimit = -45.0 # required: limits must be authored\n float physics:upperLimit = 45.0\n\n # ---- PhysxMimicJointAPI:rotX attributes ----\n # gearing: \u0394q_follower = gearing * \u0394q_reference + offset\n # Must be a non-zero real number. Sign encodes direction:\n # -1 = follower moves opposite the reference (typical for\n # parallel-jaw grippers where one jaw mirrors the other).\n float physxMimicJoint:rotX:gearing = -1.0\n float physxMimicJoint:rotX:offset = 0.0\n float physxMimicJoint:rotX:naturalFrequency = 100.0\n float physxMimicJoint:rotX:dampingRatio = 0.0\n # referenceJoint must point at a joint that does NOT itself\n # carry PhysxMimicJointAPI (no chains/cycles).\n rel physxMimicJoint:rotX:referenceJoint = <./path/to/reference_joint>\n }\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_driven_joints/requirements/mimic-api-check.md (DJ.007)\n Example: sample_content/common_assets/robots_general/Robotiq/ezu_35/simready_isaac_usd/payloads/Physics/physx.usda\n (search for: PhysxMimicJointAPI:rotX on GBA2_TRANS_2 / GBA3_TRANS_3 referencing Jaw_Drive with gearing = -1)\n\nNote: this test is SKIPPED (not failed) because mimic joints are\noptional. If your asset truly has no coupled joints, this skip is\nexpected and benign.",
1766
  "metrics": {
1767
  "mim_mimic_pairs_detected": {
@@ -1777,7 +2045,7 @@
1777
  "engine_version": "6.1.0.0",
1778
  "status": "pass",
1779
  "passed": true,
1780
- "duration": 68.459,
1781
  "message": "",
1782
  "metrics": {
1783
  "mjc_total_joints": {
@@ -1793,7 +2061,7 @@
1793
  "unit": null
1794
  },
1795
  "_timing_capture_frame_total_s": {
1796
- "value": 18.804,
1797
  "unit": null
1798
  },
1799
  "_timing_capture_frame_count": {
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1811
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  "unit": null
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1831
  },
1832
- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1833
  },
1834
  {
1835
  "test_name": "normals_xz",
@@ -1837,11 +2171,11 @@
1837
  "engine_version": "6.1.0.0",
1838
  "status": "pass",
1839
  "passed": true,
1840
- "duration": 3.606,
1841
  "message": "",
1842
  "metrics": {
1843
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1844
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1851
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1852
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1856
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1857
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1859
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1871
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1872
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1875
  "normals_xz_max_dark": {
1876
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1877
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  },
1879
  "normals_xz_problem_frames": {
@@ -1959,11 +2293,11 @@
1959
  "engine_version": "6.1.0.0",
1960
  "status": "pass",
1961
  "passed": true,
1962
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  "message": "",
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  "metrics": {
1965
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1966
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  "_timing_capture_frame_count": {
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  },
1973
  "_timing_capture_frame_avg_ms": {
1974
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1975
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1977
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1978
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  "unit": null
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1981
  "_timing_encode_video_count": {
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1991
  "unit": null
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  },
1993
  "normals_xz_avg_dark": {
1994
- "value": 0.002001,
1995
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1997
  "normals_xz_max_dark": {
1998
- "value": 0.006614,
1999
  "unit": null
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2001
  "normals_xz_problem_frames": {
@@ -2081,11 +2415,11 @@
2081
  "engine_version": "6.1.0.0",
2082
  "status": "skipped",
2083
  "passed": false,
2084
- "duration": 7.424,
2085
  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 85.6% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.467).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
2086
  "metrics": {
2087
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2088
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  "unit": null
2090
  },
2091
  "_timing_capture_frame_count": {
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2093
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2095
  "_timing_capture_frame_avg_ms": {
2096
- "value": 131.17,
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2099
  "_timing_encode_video_total_s": {
2100
- "value": 1.172,
2101
  "unit": null
2102
  },
2103
  "_timing_encode_video_count": {
@@ -2215,11 +2549,11 @@
2215
  "engine_version": "6.1.0.0",
2216
  "status": "skipped",
2217
  "passed": false,
2218
- "duration": 7.807,
2219
  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 85.6% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.467).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
2220
  "metrics": {
2221
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2222
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2227
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2229
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2230
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2233
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2234
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2235
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2237
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2349
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2350
  "status": "pass",
2351
  "passed": true,
2352
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2353
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2354
  "metrics": {
2355
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2356
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2357
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2359
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2361
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2363
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2364
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2365
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2367
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@@ -2381,7 +2715,7 @@
2381
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2383
  "presence_diff_ratio": {
2384
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2385
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2387
  "presence_passed": {
@@ -2463,11 +2797,11 @@
2463
  "engine_version": "6.1.0.0",
2464
  "status": "pass",
2465
  "passed": true,
2466
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2467
  "message": "",
2468
  "metrics": {
2469
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2470
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2473
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2477
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2478
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2481
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2498
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2499
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2501
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2577
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2578
  "status": "pass",
2579
  "passed": true,
2580
- "duration": 3.488,
2581
  "message": "",
2582
  "metrics": {
2583
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2584
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2585
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2587
  "_timing_capture_frame_count": {
@@ -2589,7 +2923,7 @@
2589
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2591
  "_timing_capture_frame_avg_ms": {
2592
- "value": 236.68,
2593
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2595
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@@ -2637,7 +2971,7 @@
2637
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2638
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2639
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2640
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2641
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2642
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2643
  "universal_surface_uncovered_pixels": {
@@ -2723,11 +3057,11 @@
2723
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2724
  "status": "pass",
2725
  "passed": true,
2726
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2727
  "message": "",
2728
  "metrics": {
2729
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2730
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2731
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2733
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2735
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2737
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2738
- "value": 243.23,
2739
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2741
  "_timing_encode_video_total_s": {
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2783
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2785
  "universal_surface_silhouette_pixels": {
2786
- "value": 156932,
2787
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2788
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2789
  "universal_surface_uncovered_pixels": {
@@ -2869,7 +3203,7 @@
2869
  "engine_version": "6.1.0.0",
2870
  "status": "pass",
2871
  "passed": true,
2872
- "duration": 35.058,
2873
  "message": "",
2874
  "metrics": {
2875
  "slope_drop_initial_cx": {
@@ -2889,7 +3223,7 @@
2889
  "unit": null
2890
  },
2891
  "_timing_capture_frame_total_s": {
2892
- "value": 10.175,
2893
  "unit": null
2894
  },
2895
  "_timing_capture_frame_count": {
@@ -2897,11 +3231,11 @@
2897
  "unit": null
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2899
  "_timing_capture_frame_avg_ms": {
2900
- "value": 195.68,
2901
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2903
  "_timing_encode_video_total_s": {
2904
- "value": 1.912,
2905
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2906
  },
2907
  "_timing_encode_video_count": {
@@ -2945,7 +3279,7 @@
2945
  "unit": null
2946
  },
2947
  "slope_drop_max_clearance": {
2948
- "value": 0.014,
2949
  "unit": "m"
2950
  },
2951
  "slope_drop_separation_frames": {
@@ -2953,15 +3287,81 @@
2953
  "unit": null
2954
  },
2955
  "slope_drop_left_slope_frame": {
2956
- "value": 456,
2957
  "unit": null
2958
  },
2959
  "slope_drop_horiz_time": {
2960
- "value": 0.412,
2961
  "unit": null
2962
  }
2963
  },
2964
- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2965
  },
2966
  {
2967
  "test_name": "slope_drop",
@@ -2969,11 +3369,11 @@
2969
  "engine_version": "6.1.0.0",
2970
  "status": "fail",
2971
  "passed": false,
2972
- "duration": 32.985,
2973
- "message": "Slope drop FAILED: The asset remained too far from the ramp after contact for 24 consecutive frame(s); peak clearance 0.2886m at frame 311. Review collision contact gaps, restitution, and the video for an upward launch.",
2974
  "metrics": {
2975
  "slope_drop_initial_cx": {
2976
- "value": 0.0233,
2977
  "unit": null
2978
  },
2979
  "slope_drop_initial_cy": {
@@ -2981,27 +3381,27 @@
2981
  "unit": null
2982
  },
2983
  "slope_drop_initial_z_min": {
2984
- "value": 6.1379,
2985
  "unit": null
2986
  },
2987
  "slope_drop_bbox_height": {
2988
- "value": 0.4923,
2989
  "unit": null
2990
  },
2991
  "_timing_capture_frame_total_s": {
2992
- "value": 4.061,
2993
  "unit": null
2994
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2995
  "_timing_capture_frame_count": {
2996
- "value": 20,
2997
  "unit": null
2998
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2999
  "_timing_capture_frame_avg_ms": {
3000
- "value": 203.07,
3001
  "unit": null
3002
  },
3003
  "_timing_encode_video_total_s": {
3004
- "value": 0.974,
3005
  "unit": null
3006
  },
3007
  "_timing_encode_video_count": {
@@ -3045,7 +3445,7 @@
3045
  "unit": null
3046
  },
3047
  "slope_drop_max_clearance": {
3048
- "value": 0.2886,
3049
  "unit": "m"
3050
  },
3051
  "slope_drop_separation_frames": {
@@ -3053,7 +3453,7 @@
3053
  "unit": null
3054
  },
3055
  "slope_drop_separation_frame": {
3056
- "value": 311,
3057
  "unit": null
3058
  },
3059
  "slope_drop_horiz_time": {
@@ -3061,7 +3461,73 @@
3061
  "unit": null
3062
  }
3063
  },
3064
- "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3065
  },
3066
  {
3067
  "test_name": "state_accuracy",
@@ -3069,7 +3535,7 @@
3069
  "engine_version": "6.1.0.0",
3070
  "status": "fail",
3071
  "passed": false,
3072
- "duration": 196.37,
3073
  "message": "STA: 4/12 joints failed state accuracy.\n\nFAILING JOINTS: FL_Knee_joint, FR_Knee_joint, HL_Knee_joint, HR_Knee_joint\n\nWHAT WE FOUND:\n At least one joint could not hold its commanded position within\n the tolerance during the 5-waypoint test. Per-joint detail (max\n position error in degrees, failed targets) is in the warnings\n above and recorded as `sta_max_position_error_deg` in\n result.json.\n\nFIX (in priority order):\n 1. Raise drive stiffness/damping on the failing joint(s). On\n each joint prim, edit:\n float drive:angular:physics:stiffness = <larger value>\n float drive:angular:physics:damping = <larger value>\n For ARM/SCARA robots FET022 disables robot gravity per-body\n during STA, so the drive only needs to overcome link inertia;\n a few hundred N-m/rad is usually enough. If you see large\n steady-state errors specifically on horizontal-axis joints,\n the per-body gravity disable may have failed -- check the\n `articulation.disable_gravity()` and `per-body\n disable_gravity` events from RobotHandle.initialize in the\n log.\n 2. If the joint oscillates instead of settling, raise damping\n by 2-5x before raising stiffness further.\n 3. Verify authored position limits include the test waypoints.\n The test commands joints to small +/-step targets around 0\n by default; if 0 is outside your authored range, the test\n cannot reach it. Edit `physics:lowerLimit` /\n `physics:upperLimit` on the joint prim.\n 4. Inspect downstream mass. A heavy distal link causes upstream\n joints to undershoot under default gains. Re-check\n `physxRigidBody:mass` and `physxRigidBody:diagonalInertia`\n on each downstream link.\n 5. Increase `test_duration_seconds` (default 3.0) only if the\n joint is slow but does reach the target eventually.\n 6. Loosen `position_tolerance_deg` (default 5.0) only when\n intentional steady-state error is acceptable for the asset.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_driven_joints/requirements/\n drive-joint-value-reasonable.md\n physics-drive-and-joint-state.md\n joint-has-joint-state-api.md\n Example: sample_content/common_assets/robots_general/ur10/simready_isaac_usd/payloads/Physics/physx.usda\n (search for: drive:angular:physics:stiffness)",
3074
  "metrics": {
3075
  "sta_joints_with_limits": {
@@ -3089,19 +3555,19 @@
3089
  "unit": null
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3091
  "_timing_capture_frame_total_s": {
3092
- "value": 73.575,
3093
  "unit": null
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3095
  "_timing_capture_frame_count": {
3096
- "value": 360,
3097
  "unit": null
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3099
  "_timing_capture_frame_avg_ms": {
3100
- "value": 204.37,
3101
  "unit": null
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3103
  "_timing_encode_video_total_s": {
3104
- "value": 11.684,
3105
  "unit": null
3106
  },
3107
  "_timing_encode_video_count": {
@@ -3129,7 +3595,7 @@
3129
  "unit": null
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  },
3131
  "sta_max_position_error_deg": {
3132
- "value": 30.022981006288564,
3133
  "unit": null
3134
  }
3135
  },
@@ -3141,7 +3607,7 @@
3141
  "engine_version": "6.1.0.0",
3142
  "status": "pass",
3143
  "passed": true,
3144
- "duration": 50.943,
3145
  "message": "",
3146
  "metrics": {
3147
  "vel_joints_with_limits": {
@@ -3149,19 +3615,19 @@
3149
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3151
  "_timing_capture_frame_total_s": {
3152
- "value": 15.697,
3153
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3155
  "_timing_capture_frame_count": {
3156
- "value": 72,
3157
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3159
  "_timing_capture_frame_avg_ms": {
3160
- "value": 218.01,
3161
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3163
  "_timing_encode_video_total_s": {
3164
- "value": 2.748,
3165
  "unit": null
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  },
3167
  "_timing_encode_video_count": {
 
1
  {
2
  "schema_version": "1.0",
3
  "asset": "Lite3",
4
+ "run_timestamp": "2026-10-23T01:55:09Z",
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  "passed": false,
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  "results": [
7
  {
 
10
  "engine_version": "6.1.0.0",
11
  "status": "pass",
12
  "passed": true,
13
+ "duration": 7.865,
14
  "message": "",
15
  "metrics": {
16
  "_timing_capture_frame_total_s": {
17
+ "value": 1.992,
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  "_timing_capture_frame_count": {
 
22
  "unit": null
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  },
24
  "_timing_capture_frame_avg_ms": {
25
+ "value": 124.48,
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  "_timing_encode_video_total_s": {
29
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32
  "_timing_encode_video_count": {
 
42
  "unit": null
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  },
44
  "culling_xz_max_diff": {
45
+ "value": 0.000117,
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  "unit": null
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  },
48
  "culling_xz_mean_diff": {
49
+ "value": 1.9e-05,
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  "unit": null
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  },
52
  "culling_xz_worst_angle": {
 
132
  "engine_version": "6.1.0.0",
133
  "status": "pass",
134
  "passed": true,
135
+ "duration": 5.885,
136
  "message": "",
137
  "metrics": {
138
  "_timing_capture_frame_total_s": {
139
+ "value": 2.017,
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  "unit": null
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142
  "_timing_capture_frame_count": {
 
144
  "unit": null
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146
  "_timing_capture_frame_avg_ms": {
147
+ "value": 126.06,
148
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150
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151
+ "value": 1.118,
152
  "unit": null
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  },
154
  "_timing_encode_video_count": {
 
164
  "unit": null
165
  },
166
  "culling_xz_max_diff": {
167
+ "value": 7.4e-05,
168
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170
  "culling_xz_mean_diff": {
171
+ "value": 2e-05,
172
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173
  },
174
  "culling_xz_worst_angle": {
175
+ "value": 135.0,
176
  "unit": null
177
  },
178
  "culling_xz_passed": {
 
254
  "engine_version": "6.1.0.0",
255
  "status": "pass",
256
  "passed": true,
257
+ "duration": 48.593,
258
  "message": "",
259
  "metrics": {
260
  "dgv_joints_tested": {
 
270
  "unit": null
271
  },
272
  "_timing_capture_frame_total_s": {
273
+ "value": 16.335,
274
  "unit": null
275
  },
276
  "_timing_capture_frame_count": {
277
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278
  "unit": null
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280
  "_timing_capture_frame_avg_ms": {
281
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282
  "unit": null
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284
  "_timing_encode_video_total_s": {
285
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286
  "unit": null
287
  },
288
  "_timing_encode_video_count": {
 
298
  "unit": null
299
  },
300
  "dgv_joints_passed": {
301
+ "value": 7,
302
  "unit": null
303
  },
304
  "dgv_joints_failed": {
305
+ "value": 5,
306
  "unit": null
307
  }
308
  },
309
+ "kit_logs": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
310
  },
311
  {
312
  "test_name": "drive_gain_validation",
 
314
  "engine_version": "",
315
  "status": "fail",
316
  "passed": false,
317
+ "duration": 914.2339999999999,
318
  "message": "Test exceeded its declared max_duration of 300 seconds; the engine session was terminated (retries exhausted).",
319
  "metrics": {},
320
  "kit_logs": []
 
325
  "engine_version": "6.1.0.0",
326
  "status": "pass",
327
  "passed": true,
328
+ "duration": 204.606,
329
  "message": "",
330
  "metrics": {
331
  "eff_joints_with_candidates": {
 
341
  "unit": null
342
  },
343
  "_timing_capture_frame_total_s": {
344
+ "value": 51.9,
345
  "unit": null
346
  },
347
  "_timing_capture_frame_count": {
 
349
  "unit": null
350
  },
351
  "_timing_capture_frame_avg_ms": {
352
+ "value": 180.21,
353
  "unit": null
354
  },
355
  "_timing_encode_video_total_s": {
356
+ "value": 9.313,
357
  "unit": null
358
  },
359
  "_timing_encode_video_count": {
 
381
  "unit": null
382
  }
383
  },
384
+ "kit_logs": [
385
+ {
386
+ "level": "error",
387
+ "channel": "omni.kit.app._impl",
388
+ "message": "[py stderr]: Traceback (most recent call last):"
389
+ },
390
+ {
391
+ "level": "error",
392
+ "channel": "omni.kit.app._impl",
393
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
394
+ },
395
+ {
396
+ "level": "error",
397
+ "channel": "omni.kit.app._impl",
398
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
399
+ },
400
+ {
401
+ "level": "error",
402
+ "channel": "omni.kit.app._impl",
403
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
404
+ },
405
+ {
406
+ "level": "error",
407
+ "channel": "omni.kit.app._impl",
408
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
409
+ },
410
+ {
411
+ "level": "error",
412
+ "channel": "omni.kit.app._impl",
413
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
414
+ },
415
+ {
416
+ "level": "error",
417
+ "channel": "omni.kit.app._impl",
418
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
419
+ },
420
+ {
421
+ "level": "error",
422
+ "channel": "omni.kit.app._impl",
423
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
424
+ },
425
+ {
426
+ "level": "error",
427
+ "channel": "omni.kit.app._impl",
428
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
429
+ },
430
+ {
431
+ "level": "error",
432
+ "channel": "omni.kit.app._impl",
433
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
434
+ },
435
+ {
436
+ "level": "error",
437
+ "channel": "omni.kit.app._impl",
438
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
439
+ },
440
+ {
441
+ "level": "error",
442
+ "channel": "omni.kit.app._impl",
443
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
444
+ },
445
+ {
446
+ "level": "error",
447
+ "channel": "omni.kit.app._impl",
448
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
449
+ }
450
+ ]
451
  },
452
  {
453
  "test_name": "effort_limit",
454
  "engine": "isaac_sim_newton",
455
  "engine_version": "6.1.0.0",
456
+ "status": "fail",
457
+ "passed": false,
458
+ "duration": 250.759,
459
+ "message": "EFF: 1/12 joints exceeded position limits under 10 N external force.\n Failing joints: HL_HipY_joint\n\nEach failing joint has a per-joint warning above with its specific failing directions\nand the four-step inspection checklist (drive maxForce, drive stiffness/damping, link\nmass/inertia, joint limits). Walk those first.\n\nQUICK TRIAGE:\n - If most or all joints fail in the same directions: the test force is likely too\n high for this asset's class. Drop 'force_magnitude_newtons' in the EFF config to\n the asset's rated operating envelope.\n - If one or two joints fail: those joints' drive:*:physics:maxForce is the most\n likely culprit. Edit the joint prims in USD and raise maxForce above the applied\n push with a 2-3x margin.\n - If the bbox 'exploded' rather than a clean limit excursion, the per-joint warning\n says so -- that points to runaway integration, usually from an unpinned base or\n near-zero mass/inertia on a link.\n\nREFERENCE:\n Feature: nv_core/sr_specs/docs/shared/features/FET_022-driven_joints.md\n Drive: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_driven_joints/requirements/\n physics-drive-and-joint-state.md (DJ.001 -- maxForce > 0)\n drive-joint-value-reasonable.md (DJ.006 -- stiffness/damping ranges)\n Joints: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/\n joint-body-target-exists.md\n Example: sample_content/common_assets/robots_general/Franka/FrankaResearch3/\n simready_isaac_usd/FrankaResearch3.usda\n (search for: drive:angular:physics:maxForce)",
460
  "metrics": {
461
  "eff_joints_with_candidates": {
462
  "value": 12,
 
471
  "unit": null
472
  },
473
  "_timing_capture_frame_total_s": {
474
+ "value": 51.131,
475
  "unit": null
476
  },
477
  "_timing_capture_frame_count": {
478
+ "value": 280,
479
  "unit": null
480
  },
481
  "_timing_capture_frame_avg_ms": {
482
+ "value": 182.61,
483
  "unit": null
484
  },
485
  "_timing_encode_video_total_s": {
486
+ "value": 9.094,
487
  "unit": null
488
  },
489
  "_timing_encode_video_count": {
 
503
  "unit": null
504
  },
505
  "eff_joints_passed": {
506
+ "value": 11,
507
  "unit": null
508
  },
509
  "eff_joints_failed": {
510
+ "value": 1,
511
  "unit": null
512
  }
513
  },
 
585
  "engine_version": "6.1.0.0",
586
  "status": "pass",
587
  "passed": true,
588
+ "duration": 368.816,
589
  "message": "",
590
  "metrics": {
591
  "frs_total_dofs": {
 
605
  "unit": null
606
  },
607
  "frs_bbox_baseline_volume": {
608
+ "value": 0.01803980237813273,
609
  "unit": null
610
  },
611
  "_timing_capture_frame_total_s": {
612
+ "value": 73.687,
613
  "unit": null
614
  },
615
  "_timing_capture_frame_count": {
 
617
  "unit": null
618
  },
619
  "_timing_capture_frame_avg_ms": {
620
+ "value": 204.69,
621
  "unit": null
622
  },
623
  "_timing_encode_video_total_s": {
624
+ "value": 11.609,
625
  "unit": null
626
  },
627
  "_timing_encode_video_count": {
 
653
  "engine_version": "6.1.0.0",
654
  "status": "pass",
655
  "passed": true,
656
+ "duration": 35.251,
657
  "message": "",
658
  "metrics": {
659
  "ground_drop_initial_z_min": {
 
669
  "unit": null
670
  },
671
  "_timing_capture_frame_total_s": {
672
+ "value": 12.046,
673
  "unit": null
674
  },
675
  "_timing_capture_frame_count": {
676
+ "value": 58,
677
  "unit": null
678
  },
679
  "_timing_capture_frame_avg_ms": {
680
+ "value": 207.68,
681
  "unit": null
682
  },
683
  "_timing_encode_video_total_s": {
684
+ "value": 2.2,
685
  "unit": null
686
  },
687
  "_timing_encode_video_count": {
 
717
  "unit": null
718
  },
719
  "ground_drop_rest_time": {
720
+ "value": 3.333,
721
  "unit": null
722
  }
723
  },
 
727
  "test_name": "ground_drop",
728
  "engine": "isaac_sim_newton",
729
  "engine_version": "6.1.0.0",
730
+ "status": "pass",
731
+ "passed": true,
732
+ "duration": 99.346,
733
+ "message": "",
734
  "metrics": {
735
  "ground_drop_initial_z_min": {
736
+ "value": 0.759,
737
  "unit": null
738
  },
739
  "ground_drop_bbox_height": {
740
+ "value": 0.4979,
741
  "unit": null
742
  },
743
  "ground_drop_effective_fall": {
744
+ "value": 0.659,
745
  "unit": null
746
  },
747
  "_timing_capture_frame_total_s": {
748
+ "value": 19.386,
749
  "unit": null
750
  },
751
  "_timing_capture_frame_count": {
752
+ "value": 91,
753
  "unit": null
754
  },
755
  "_timing_capture_frame_avg_ms": {
756
+ "value": 213.04,
757
  "unit": null
758
  },
759
  "_timing_encode_video_total_s": {
760
+ "value": 3.236,
761
  "unit": null
762
  },
763
  "_timing_encode_video_count": {
 
781
  "unit": null
782
  },
783
  "ground_drop_stable": {
784
+ "value": 1,
785
  "unit": null
786
  },
787
  "ground_drop_passed": {
788
+ "value": 1,
789
  "unit": null
790
  },
791
  "ground_drop_touch_time": {
792
+ "value": 0.362,
793
+ "unit": null
794
+ },
795
+ "ground_drop_rest_time": {
796
+ "value": 5.537,
797
  "unit": null
798
  }
799
  },
800
+ "kit_logs": [
801
+ {
802
+ "level": "error",
803
+ "channel": "omni.kit.app._impl",
804
+ "message": "[py stderr]: Traceback (most recent call last):"
805
+ },
806
+ {
807
+ "level": "error",
808
+ "channel": "omni.kit.app._impl",
809
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
810
+ },
811
+ {
812
+ "level": "error",
813
+ "channel": "omni.kit.app._impl",
814
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
815
+ },
816
+ {
817
+ "level": "error",
818
+ "channel": "omni.kit.app._impl",
819
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
820
+ },
821
+ {
822
+ "level": "error",
823
+ "channel": "omni.kit.app._impl",
824
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
825
+ },
826
+ {
827
+ "level": "error",
828
+ "channel": "omni.kit.app._impl",
829
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
830
+ },
831
+ {
832
+ "level": "error",
833
+ "channel": "omni.kit.app._impl",
834
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
835
+ },
836
+ {
837
+ "level": "error",
838
+ "channel": "omni.kit.app._impl",
839
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
840
+ },
841
+ {
842
+ "level": "error",
843
+ "channel": "omni.kit.app._impl",
844
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
845
+ },
846
+ {
847
+ "level": "error",
848
+ "channel": "omni.kit.app._impl",
849
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
850
+ },
851
+ {
852
+ "level": "error",
853
+ "channel": "omni.kit.app._impl",
854
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
855
+ },
856
+ {
857
+ "level": "error",
858
+ "channel": "omni.kit.app._impl",
859
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
860
+ },
861
+ {
862
+ "level": "error",
863
+ "channel": "omni.kit.app._impl",
864
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
865
+ }
866
+ ]
867
  },
868
  {
869
  "test_name": "ik_target_reach",
 
871
  "engine_version": "6.1.0.0",
872
  "status": "skipped",
873
  "passed": false,
874
+ "duration": 1.365,
875
  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/Lite3/simready_usd/Lite3.usd'\n isaac:robotType='LEGGED'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
876
  "metrics": {},
877
  "kit_logs": []
 
882
  "engine_version": "6.1.0.0",
883
  "status": "skipped",
884
  "passed": false,
885
+ "duration": 7.239,
886
  "message": "IK Target Reach phase cannot run: no Lula kinematics descriptor matched this asset.\n\n Found: asset_path='<home>/nvidia-submission/simready-tools/assets/Lite3/simready_usd/Lite3.usd'\n isaac:robotType='LEGGED'\n Expected: the asset's path OR its IsaacRobotAPI.isaac:robotType\n value contains one of the canonical Lula-supported\n robot keys (case-insensitive substring match):\n Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3, Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta, Festo_Cobot, Rethink_Sawyer, Rizon4\n\nFIX (asset-authoring): the Lula IK solver needs a descriptor YAML +\nURDF pair to know your robot's kinematic chain. Two ways to satisfy\nthis test:\n\n 1. RENAME / RETAG to a supported model. If your robot IS one of the\n supported models above, ensure the asset folder name (or the\n default prim's isaac:robotType token) contains the canonical\n key. For example, place the asset under a folder containing\n 'Franka' or set:\n token isaac:robotType = \"Manipulator\"\n string isaac:robotName = \"Franka\"\n on the default prim.\n\n 2. PROVIDE an explicit Lula descriptor. Set the phase config in\n your test profile:\n lula_robot_name: \"<canonical-name>\"\n lula_yaml_path: \"./abs/path/to/robot_descriptor.yaml\"\n lula_urdf_path: \"./abs/path/to/robot.urdf\"\n The YAML must list the kinematic chain (base_link, cspace,\n active joints, default_q) per Isaac Sim's Lula descriptor\n format. See any policy in the policy_map directory cited below\n for a working template.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-type.md (RC.008)\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/robot-schema.md (RC.007)\n Feature: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_021_ISAAC.md\n Lula descriptors: Isaac Sim ships YAML+URDF pairs under\n isaacsim.robot_motion.motion_generation/policies/\n policy_map.json -- keyed by canonical robot name\n (Franka, UR3, UR5, UR10, UR16e, Kinova_Gen3,\n Cobotta_Pro_900, Cobotta_Pro_1300, Denso_Cobotta,\n Festo_Cobot, Rethink_Sawyer, Rizon4).\n Example: Any Franka_*.usd or UR10_*.usd asset under\n sample_content/common_assets/robots_general/ -- the\n asset folder name contains the canonical robot key\n and the default prim sets isaac:robotType=\"Manipulator\".",
887
  "metrics": {},
888
  "kit_logs": []
 
893
  "engine_version": "6.1.0.0",
894
  "status": "fail",
895
  "passed": false,
896
+ "duration": 137.419,
897
+ "message": "JIK: in-reach pass rate 0.00 below minimum 0.40 -- the asset's\narticulation could not reach enough generated targets to pass.\n\nWhat the test found:\n - 0 / 5 in-reach targets passed.\n - 0 failed because the DLS solver could not find a joint\n solution (red sphere in the captured video).\n - 5 failed because the solver succeeded but the PD drives did\n not track the precomputed solution to within tolerance\n (orange sphere).\n - Worst position error: 0.9433 m (tolerance 0.050 m).\n - Worst orientation error: 113.66 deg (tolerance 10.00 deg).\n - End-effector under test: /World/AssetRoot/Asset/HR_FOOT.\n - Failed targets: target_0, target_1, target_2, target_3, target_4.\n\nFIX -- triage in this order:\n\n 1) Open the captured video. Targets coloured RED never had a\n joint solution. Targets coloured ORANGE had a solution but\n the robot did not get there -- a drive-tuning problem.\n\n 2) For ORANGE (motion failed) on a `PhysicsRevoluteJoint`,\n inspect drive stiffness / damping on each joint. Industrial\n arms typically need:\n\n def PhysicsRevoluteJoint \"joint_3\" (\n prepend apiSchemas = [\"PhysicsDriveAPI:angular\"]\n )\n {\n # Example values for a 25 kg-link arm; scale with\n # link inertia. Stiffness too low -> drift; too\n # high -> oscillation.\n float drive:angular:physics:stiffness = 10000.0\n float drive:angular:physics:damping = 1000.0\n float drive:angular:physics:maxForce = 1000.0\n }\n\n 3) For RED (solver failed), the Jacobian is singular or the\n joint limits are too tight. Verify each joint declares\n non-zero limits:\n\n float physics:lowerLimit = -180.0\n float physics:upperLimit = 180.0\n\n and that the EE link (/World/AssetRoot/Asset/HR_FOOT) is the LAST link in the chain --\n a tip link with no preceding revolute joint cannot be\n reached by a Jacobian solver.\n\n 4) Asset fix: Tune drive stiffness/damping so each joint can hold its\n commanded position under JIK's smoothstep motion -- start\n by doubling stiffness on the joint(s) showing the largest\n tracking error in the video.\n\n 5) Engine note: JIK uses a damped least-squares Jacobian solver with USD\n forward kinematics; ensure the asset's joints are exposed\n in the SingleArticulation's `dof_names`.\n\n 6) TEST-CONFIG escape hatches (use only when the asset is\n genuinely correct but the defaults are wrong for it):\n - Reduce `target_radius_factors` (default (0.5, 0.7, 0.9))\n when the bbox-based reach estimate overshoots the actual\n workspace (common on non-extended / folded arms).\n - Loosen `position_tolerance` / `orientation_tolerance_deg`\n (defaults 0.05 m / 10 deg) when the asset's PD drive has\n intentional steady-state error.\n - Increase `max_solver_iterations` (default 50) when DLS\n convergence is slow on long-armed or heavily damped\n robots.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/articulation.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_joints/requirements/joint-body-target-exists.md\n nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/hierarchy/requirements/kinematic-chain-hierarchy.md\n Example: sample_content/common_assets/robots_general/Franka/Franka.usda\n (search for: PhysicsArticulationRootAPI, PhysicsRevoluteJoint)",
898
  "metrics": {
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  "jik_robot_reach": {
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  "unit": null
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903
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907
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  "jik_base_position_y": {
912
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915
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917
  "unit": null
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  "jik_max_observed_reach": {
920
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  "unit": null
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  "jik_distinct_reachable_targets": {
 
925
  "unit": null
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927
  "jik_bbox_baseline_volume": {
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  "_timing_capture_frame_avg_ms": {
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  "_timing_encode_video_count": {
 
1005
  "unit": null
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  "unit": null
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  "jik_max_orientation_error_deg": {
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  "jik_pass_rate": {
 
1021
  "unit": null
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  }
1023
  },
1024
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1028
+ "message": "[py stderr]: Traceback (most recent call last):"
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1030
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1031
+ "level": "error",
1032
+ "channel": "omni.kit.app._impl",
1033
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1034
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1042
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1043
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
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1047
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1048
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
1049
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1050
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1051
+ "level": "error",
1052
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1053
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1054
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1055
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1056
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1057
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1058
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
1059
+ },
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1061
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1062
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1063
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
1064
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1065
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1066
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1067
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1068
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1069
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1070
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1071
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1072
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1073
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
1074
+ },
1075
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1077
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1078
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
1079
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1080
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1081
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1082
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1083
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
1084
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1085
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1086
+ "level": "error",
1087
+ "channel": "omni.kit.app._impl",
1088
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
1089
+ }
1090
+ ]
1091
  },
1092
  {
1093
  "test_name": "joint_movement",
 
1095
  "engine_version": "6.1.0.0",
1096
  "status": "pass",
1097
  "passed": true,
1098
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1157
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1161
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1165
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1169
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  "jm_joint_FL_Knee_joint_pct_of_travel": {
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1175
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1177
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1179
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  },
1181
  "jm_joint_FR_HipX_joint_trans_pct": {
1182
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1185
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1191
  "unit": null
1192
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1193
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1195
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1197
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1198
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1199
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1201
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1205
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  "unit": null
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1209
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1213
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1217
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1221
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1222
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1223
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1225
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1227
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1229
  "jm_joint_HL_HipX_joint_trans_pct": {
1230
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1231
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1232
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1233
  "jm_joint_HL_HipX_joint_bbox_m": {
 
1239
  "unit": null
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1241
  "jm_joint_HL_HipY_joint_rot_deg": {
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1243
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1244
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1245
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1246
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1247
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1249
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1251
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1253
  "jm_joint_HL_HipY_joint_pct_of_travel": {
 
1255
  "unit": null
1256
  },
1257
  "jm_joint_HL_Knee_joint_rot_deg": {
1258
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1259
  "unit": null
1260
  },
1261
  "jm_joint_HL_Knee_joint_trans_pct": {
1262
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1263
  "unit": null
1264
  },
1265
  "jm_joint_HL_Knee_joint_bbox_m": {
1266
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1267
  "unit": null
1268
  },
1269
  "jm_joint_HL_Knee_joint_pct_of_travel": {
1270
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1271
  "unit": null
1272
  },
1273
  "jm_joint_HR_HipX_joint_rot_deg": {
1274
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1275
  "unit": null
1276
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1277
  "jm_joint_HR_HipX_joint_trans_pct": {
1278
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1279
  "unit": null
1280
  },
1281
  "jm_joint_HR_HipX_joint_bbox_m": {
1282
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1283
  "unit": null
1284
  },
1285
  "jm_joint_HR_HipX_joint_pct_of_travel": {
 
1287
  "unit": null
1288
  },
1289
  "jm_joint_HR_HipY_joint_rot_deg": {
1290
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1291
  "unit": null
1292
  },
1293
  "jm_joint_HR_HipY_joint_trans_pct": {
1294
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1295
  "unit": null
1296
  },
1297
  "jm_joint_HR_HipY_joint_bbox_m": {
1298
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1299
  "unit": null
1300
  },
1301
  "jm_joint_HR_HipY_joint_pct_of_travel": {
 
1303
  "unit": null
1304
  },
1305
  "jm_joint_HR_Knee_joint_rot_deg": {
1306
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1307
  "unit": null
1308
  },
1309
  "jm_joint_HR_Knee_joint_trans_pct": {
1310
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1311
  "unit": null
1312
  },
1313
  "jm_joint_HR_Knee_joint_bbox_m": {
1314
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1315
  "unit": null
1316
  },
1317
  "jm_joint_HR_Knee_joint_pct_of_travel": {
1318
+ "value": 82.0,
1319
  "unit": null
1320
  },
1321
  "jm_joints_total": {
 
1379
  "unit": null
1380
  }
1381
  },
1382
+ "kit_logs": [
1383
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1384
+ "level": "error",
1385
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1386
+ "message": "[py stderr]: Traceback (most recent call last):"
1387
+ },
1388
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1389
+ "level": "error",
1390
+ "channel": "omni.kit.app._impl",
1391
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
1392
+ },
1393
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1394
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1395
+ "channel": "omni.kit.app._impl",
1396
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
1397
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1398
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1399
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1400
+ "channel": "omni.kit.app._impl",
1401
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
1402
+ },
1403
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1404
+ "level": "error",
1405
+ "channel": "omni.kit.app._impl",
1406
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
1407
+ },
1408
+ {
1409
+ "level": "error",
1410
+ "channel": "omni.kit.app._impl",
1411
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1412
+ },
1413
+ {
1414
+ "level": "error",
1415
+ "channel": "omni.kit.app._impl",
1416
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
1417
+ },
1418
+ {
1419
+ "level": "error",
1420
+ "channel": "omni.kit.app._impl",
1421
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
1422
+ },
1423
+ {
1424
+ "level": "error",
1425
+ "channel": "omni.kit.app._impl",
1426
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1427
+ },
1428
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1429
+ "level": "error",
1430
+ "channel": "omni.kit.app._impl",
1431
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
1432
+ },
1433
+ {
1434
+ "level": "error",
1435
+ "channel": "omni.kit.app._impl",
1436
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
1437
+ },
1438
+ {
1439
+ "level": "error",
1440
+ "channel": "omni.kit.app._impl",
1441
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
1442
+ },
1443
+ {
1444
+ "level": "error",
1445
+ "channel": "omni.kit.app._impl",
1446
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
1447
+ }
1448
+ ]
1449
  },
1450
  {
1451
  "test_name": "joint_movement",
 
1453
  "engine_version": "6.1.0.0",
1454
  "status": "pass",
1455
  "passed": true,
1456
+ "duration": 54.576,
1457
  "message": "",
1458
  "metrics": {
1459
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1460
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1461
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1463
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1465
  "unit": null
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1467
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1468
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1471
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1472
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1475
  "_timing_encode_video_count": {
 
1712
  "value": "passed",
1713
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1714
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1715
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1716
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1717
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1719
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1720
+ "value": "passed",
1721
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1722
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1723
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1724
+ "value": "passed",
1725
+ "unit": null
1726
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1727
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1728
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1729
+ "unit": null
1730
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1731
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1732
+ "value": "passed",
1733
+ "unit": null
1734
+ },
1735
+ "jm_joint_HR_Knee_joint_status": {
1736
+ "value": "passed",
1737
+ "unit": null
1738
+ }
1739
+ },
1740
+ "kit_logs": [
1741
+ {
1742
+ "level": "error",
1743
+ "channel": "omni.kit.app._impl",
1744
+ "message": "[py stderr]: Traceback (most recent call last):"
1745
+ },
1746
+ {
1747
+ "level": "error",
1748
+ "channel": "omni.kit.app._impl",
1749
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
1750
+ },
1751
+ {
1752
+ "level": "error",
1753
+ "channel": "omni.kit.app._impl",
1754
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
1755
+ },
1756
+ {
1757
+ "level": "error",
1758
+ "channel": "omni.kit.app._impl",
1759
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
1760
+ },
1761
+ {
1762
+ "level": "error",
1763
+ "channel": "omni.kit.app._impl",
1764
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
1765
+ },
1766
+ {
1767
+ "level": "error",
1768
+ "channel": "omni.kit.app._impl",
1769
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1770
+ },
1771
+ {
1772
+ "level": "error",
1773
+ "channel": "omni.kit.app._impl",
1774
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
1775
  },
1776
+ {
1777
+ "level": "error",
1778
+ "channel": "omni.kit.app._impl",
1779
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
1780
  },
1781
+ {
1782
+ "level": "error",
1783
+ "channel": "omni.kit.app._impl",
1784
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
1785
  },
1786
+ {
1787
+ "level": "error",
1788
+ "channel": "omni.kit.app._impl",
1789
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
1790
  },
1791
+ {
1792
+ "level": "error",
1793
+ "channel": "omni.kit.app._impl",
1794
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
1795
  },
1796
+ {
1797
+ "level": "error",
1798
+ "channel": "omni.kit.app._impl",
1799
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
1800
+ },
1801
+ {
1802
+ "level": "error",
1803
+ "channel": "omni.kit.app._impl",
1804
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
1805
  }
1806
+ ]
 
1807
  },
1808
  {
1809
  "test_name": "light_response",
 
1811
  "engine_version": "6.1.0.0",
1812
  "status": "pass",
1813
  "passed": true,
1814
+ "duration": 12.101,
1815
  "message": "",
1816
  "metrics": {
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  "_timing_capture_frame_total_s": {
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1821
  "_timing_capture_frame_count": {
 
1823
  "unit": null
1824
  },
1825
  "_timing_capture_frame_avg_ms": {
1826
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  "unit": null
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  },
1829
  "_timing_encode_video_total_s": {
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1831
  "unit": null
1832
  },
1833
  "_timing_encode_video_count": {
 
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  "unit": null
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  },
1873
  "light_response_max_pair_change": {
1874
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1875
  "unit": null
1876
  },
1877
  "light_response_min_pair_change": {
1878
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1879
  "unit": null
1880
  }
1881
  },
 
1887
  "engine_version": "6.1.0.0",
1888
  "status": "pass",
1889
  "passed": true,
1890
+ "duration": 11.824,
1891
  "message": "",
1892
  "metrics": {
1893
  "_timing_capture_frame_total_s": {
1894
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  "_timing_capture_frame_count": {
 
1899
  "unit": null
1900
  },
1901
  "_timing_capture_frame_avg_ms": {
1902
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1903
  "unit": null
1904
  },
1905
  "_timing_encode_video_total_s": {
1906
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1907
  "unit": null
1908
  },
1909
  "_timing_encode_video_count": {
 
1947
  "unit": null
1948
  },
1949
  "light_response_max_pair_change": {
1950
+ "value": 0.73708,
1951
  "unit": null
1952
  },
1953
  "light_response_min_pair_change": {
1954
+ "value": 0.016668,
1955
  "unit": null
1956
  }
1957
  },
 
2029
  "engine_version": "6.1.0.0",
2030
  "status": "skipped",
2031
  "passed": false,
2032
+ "duration": 1.486,
2033
  "message": "MIM: no PhysxMimicJointAPI found on any joint under the asset prim.\n\n Found: 0 joints with PhysxMimicJointAPI applied\n Expected: at least one revolute or prismatic joint with\n PhysxMimicJointAPI:<axisToken> applied (rotX/rotY/rotZ\n or transX/transY/transZ)\n\nFIX (if your asset has coupled joints, e.g. a parallel-jaw gripper\nwhere the two finger joints must move together):\n 1. Pick the driven joint and call it the REFERENCE joint. Leave\n it with a normal drive (PhysicsDriveAPI or JointStateAPI).\n 2. On each FOLLOWER joint, apply PhysxMimicJointAPI keyed to that\n joint's physics:axis instance token (e.g. \"rotX\" for a\n revolute joint with physics:axis = \"X\").\n 3. Set physxMimicJoint:<axis>:gearing (non-zero) and\n physxMimicJoint:<axis>:referenceJoint pointing at the\n reference joint's prim path.\n 4. Both follower AND reference joints must have physics:lowerLimit\n and physics:upperLimit authored, and neither may have\n physics:excludeFromArticulation = true.\n\nPaste-ready USDA snippet (adapt paths, axis token, gearing sign,\nand limits to your asset):\n\n # The follower joint: applies PhysxMimicJointAPI keyed to the axis\n # token of the joint (rotX/rotY/rotZ for revolute, transX/transY/\n # transZ for prismatic). The instance name MUST match physics:axis.\n def PhysicsRevoluteJoint \"follower_joint\" (\n prepend apiSchemas = [\"PhysxMimicJointAPI:rotX\"]\n )\n {\n uniform token physics:axis = \"X\"\n rel physics:body0 = <./path/to/parent_link>\n rel physics:body1 = <./path/to/follower_link>\n float physics:lowerLimit = -45.0 # required: limits must be authored\n float physics:upperLimit = 45.0\n\n # ---- PhysxMimicJointAPI:rotX attributes ----\n # gearing: \u0394q_follower = gearing * \u0394q_reference + offset\n # Must be a non-zero real number. Sign encodes direction:\n # -1 = follower moves opposite the reference (typical for\n # parallel-jaw grippers where one jaw mirrors the other).\n float physxMimicJoint:rotX:gearing = -1.0\n float physxMimicJoint:rotX:offset = 0.0\n float physxMimicJoint:rotX:naturalFrequency = 100.0\n float physxMimicJoint:rotX:dampingRatio = 0.0\n # referenceJoint must point at a joint that does NOT itself\n # carry PhysxMimicJointAPI (no chains/cycles).\n rel physxMimicJoint:rotX:referenceJoint = <./path/to/reference_joint>\n }\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_driven_joints/requirements/mimic-api-check.md (DJ.007)\n Example: sample_content/common_assets/robots_general/Robotiq/ezu_35/simready_isaac_usd/payloads/Physics/physx.usda\n (search for: PhysxMimicJointAPI:rotX on GBA2_TRANS_2 / GBA3_TRANS_3 referencing Jaw_Drive with gearing = -1)\n\nNote: this test is SKIPPED (not failed) because mimic joints are\noptional. If your asset truly has no coupled joints, this skip is\nexpected and benign.",
2034
  "metrics": {
2035
  "mim_mimic_pairs_detected": {
 
2045
  "engine_version": "6.1.0.0",
2046
  "status": "pass",
2047
  "passed": true,
2048
+ "duration": 54.239,
2049
  "message": "",
2050
  "metrics": {
2051
  "mjc_total_joints": {
 
2061
  "unit": null
2062
  },
2063
  "_timing_capture_frame_total_s": {
2064
+ "value": 16.453,
2065
  "unit": null
2066
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2067
  "_timing_capture_frame_count": {
 
2069
  "unit": null
2070
  },
2071
  "_timing_capture_frame_avg_ms": {
2072
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2073
  "unit": null
2074
  },
2075
  "_timing_encode_video_total_s": {
2076
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2077
  "unit": null
2078
  },
2079
  "_timing_encode_video_count": {
 
2097
  "unit": null
2098
  }
2099
  },
2100
+ "kit_logs": [
2101
+ {
2102
+ "level": "error",
2103
+ "channel": "omni.kit.app._impl",
2104
+ "message": "[py stderr]: Traceback (most recent call last):"
2105
+ },
2106
+ {
2107
+ "level": "error",
2108
+ "channel": "omni.kit.app._impl",
2109
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/impl/texture.py\", line 377, in on_drawable_changed"
2110
+ },
2111
+ {
2112
+ "level": "error",
2113
+ "channel": "omni.kit.app._impl",
2114
+ "message": "[py stderr]: self.__drawable_changed_fn(texture[\"rp_resource\"], presentation_key)"
2115
+ },
2116
+ {
2117
+ "level": "error",
2118
+ "channel": "omni.kit.app._impl",
2119
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/widget.py\", line 516, in __set_image_data"
2120
+ },
2121
+ {
2122
+ "level": "error",
2123
+ "channel": "omni.kit.app._impl",
2124
+ "message": "[py stderr]: vp_api._sync_viewport_api(camera, canvas_size, vp_api.time, view, projection, force_update=True) # noqa PLW0212"
2125
+ },
2126
+ {
2127
+ "level": "error",
2128
+ "channel": "omni.kit.app._impl",
2129
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
2130
+ },
2131
+ {
2132
+ "level": "error",
2133
+ "channel": "omni.kit.app._impl",
2134
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 546, in _sync_viewport_api"
2135
+ },
2136
+ {
2137
+ "level": "error",
2138
+ "channel": "omni.kit.app._impl",
2139
+ "message": "[py stderr]: self.__projection = self._conform_projection(policy, camera, image_aspect, canvas_aspect, projection)"
2140
+ },
2141
+ {
2142
+ "level": "error",
2143
+ "channel": "omni.kit.app._impl",
2144
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
2145
+ },
2146
+ {
2147
+ "level": "error",
2148
+ "channel": "omni.kit.app._impl",
2149
+ "message": "[py stderr]: File \"<home>/nvidia-submission/simready-tools/.venv-isaac/lib/python3.12/site-packages/isaacsim/extscache/omni.kit.widget.viewport-110.0.0+00c488ae/omni/kit/widget/viewport/api.py\", line 476, in _conform_projection"
2150
+ },
2151
+ {
2152
+ "level": "error",
2153
+ "channel": "omni.kit.app._impl",
2154
+ "message": "[py stderr]: gf_camera = camera.GetCamera(self.__time)"
2155
+ },
2156
+ {
2157
+ "level": "error",
2158
+ "channel": "omni.kit.app._impl",
2159
+ "message": "[py stderr]: ^^^^^^^^^^^^^^^^"
2160
+ },
2161
+ {
2162
+ "level": "error",
2163
+ "channel": "omni.kit.app._impl",
2164
+ "message": "[py stderr]: AttributeError: 'NoneType' object has no attribute 'GetCamera'"
2165
+ }
2166
+ ]
2167
  },
2168
  {
2169
  "test_name": "normals_xz",
 
2171
  "engine_version": "6.1.0.0",
2172
  "status": "pass",
2173
  "passed": true,
2174
+ "duration": 3.528,
2175
  "message": "",
2176
  "metrics": {
2177
  "_timing_capture_frame_total_s": {
2178
+ "value": 0.872,
2179
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2180
  },
2181
  "_timing_capture_frame_count": {
 
2183
  "unit": null
2184
  },
2185
  "_timing_capture_frame_avg_ms": {
2186
+ "value": 108.96,
2187
  "unit": null
2188
  },
2189
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2190
+ "value": 0.485,
2191
  "unit": null
2192
  },
2193
  "_timing_encode_video_count": {
 
2203
  "unit": null
2204
  },
2205
  "normals_xz_avg_dark": {
2206
+ "value": 0.001957,
2207
  "unit": null
2208
  },
2209
  "normals_xz_max_dark": {
2210
+ "value": 0.006702,
2211
  "unit": null
2212
  },
2213
  "normals_xz_problem_frames": {
 
2293
  "engine_version": "6.1.0.0",
2294
  "status": "pass",
2295
  "passed": true,
2296
+ "duration": 3.569,
2297
  "message": "",
2298
  "metrics": {
2299
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2300
+ "value": 0.915,
2301
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2303
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2305
  "unit": null
2306
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2307
  "_timing_capture_frame_avg_ms": {
2308
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2309
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2311
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2312
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2313
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2315
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2325
  "unit": null
2326
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2327
  "normals_xz_avg_dark": {
2328
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2329
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2331
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2332
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2333
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2335
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2415
  "engine_version": "6.1.0.0",
2416
  "status": "skipped",
2417
  "passed": false,
2418
+ "duration": 7.586,
2419
  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 85.6% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.467).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
2420
  "metrics": {
2421
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2422
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2423
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2425
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2427
  "unit": null
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2429
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2430
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2433
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2434
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2435
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2436
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2437
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2549
  "engine_version": "6.1.0.0",
2550
  "status": "skipped",
2551
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2552
+ "duration": 7.399,
2553
  "message": "Pivot/origin check did not meet the recommended score (score=0.20, recommended >=0.70). Reported as SKIPPED, not a failure: the correct pivot location depends on the object type, so a sub-threshold result is advisory and does not fail FET001. The tilt and spin videos are kept below so the pivot can be judged visually.\nPivot is 85.6% from base (should be <10%).\nX-axis tilt causes ground penetration (min_z=-0.467).\n\nHow to fix:\n- Move the asset pivot to the bottom-center of the bounding box.\n- The pivot should be at Z=0 (ground level) and centered in XY.\n- In your DCC tool, set the pivot/origin to the base of the object.\n- Check the X-tilt and Z-spin videos for visual reference.\n\nWhen this can be ignored: this check validates ground-placeable\nprops. If your object is a rotating/hinged type (e.g., door, robot\njoint), the pivot should be at the rotation center -- not the base;\nthose are validated under FET021/FET022. Attached objects (cameras,\nwheels) should have their pivot at the attachment point.\n\nINTERIM: pivot/origin (VG.025) is treated as advisory and does not\nfail the feature, pending spec clarification on whether VG.025 is a\nmandatory or optional requirement (refer to docs/spec-clarifications-needed.md).",
2554
  "metrics": {
2555
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2556
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2557
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2559
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2561
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2563
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2567
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2568
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2569
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2571
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2683
  "engine_version": "6.1.0.0",
2684
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2685
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2686
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2687
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2688
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2689
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2690
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2691
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2693
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2695
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2697
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2698
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2699
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2701
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2715
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2718
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2719
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2721
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2797
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2798
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2799
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2802
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2803
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2804
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2805
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2807
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2809
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2811
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2812
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2815
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2829
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2831
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2835
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2911
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2912
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2913
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2915
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2916
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2917
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3301
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3302
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3305
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3306
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3307
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3355
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3367
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3531
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3532
  {
3533
  "test_name": "state_accuracy",
 
3535
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3536
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3537
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3538
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3539
  "message": "STA: 4/12 joints failed state accuracy.\n\nFAILING JOINTS: FL_Knee_joint, FR_Knee_joint, HL_Knee_joint, HR_Knee_joint\n\nWHAT WE FOUND:\n At least one joint could not hold its commanded position within\n the tolerance during the 5-waypoint test. Per-joint detail (max\n position error in degrees, failed targets) is in the warnings\n above and recorded as `sta_max_position_error_deg` in\n result.json.\n\nFIX (in priority order):\n 1. Raise drive stiffness/damping on the failing joint(s). On\n each joint prim, edit:\n float drive:angular:physics:stiffness = <larger value>\n float drive:angular:physics:damping = <larger value>\n For ARM/SCARA robots FET022 disables robot gravity per-body\n during STA, so the drive only needs to overcome link inertia;\n a few hundred N-m/rad is usually enough. If you see large\n steady-state errors specifically on horizontal-axis joints,\n the per-body gravity disable may have failed -- check the\n `articulation.disable_gravity()` and `per-body\n disable_gravity` events from RobotHandle.initialize in the\n log.\n 2. If the joint oscillates instead of settling, raise damping\n by 2-5x before raising stiffness further.\n 3. Verify authored position limits include the test waypoints.\n The test commands joints to small +/-step targets around 0\n by default; if 0 is outside your authored range, the test\n cannot reach it. Edit `physics:lowerLimit` /\n `physics:upperLimit` on the joint prim.\n 4. Inspect downstream mass. A heavy distal link causes upstream\n joints to undershoot under default gains. Re-check\n `physxRigidBody:mass` and `physxRigidBody:diagonalInertia`\n on each downstream link.\n 5. Increase `test_duration_seconds` (default 3.0) only if the\n joint is slow but does reach the target eventually.\n 6. Loosen `position_tolerance_deg` (default 5.0) only when\n intentional steady-state error is acceptable for the asset.\n\nREFERENCE:\n Spec: nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/physics_bodies/physics_driven_joints/requirements/\n drive-joint-value-reasonable.md\n physics-drive-and-joint-state.md\n joint-has-joint-state-api.md\n Example: sample_content/common_assets/robots_general/ur10/simready_isaac_usd/payloads/Physics/physx.usda\n (search for: drive:angular:physics:stiffness)",
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