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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
plan_version: string
created: string
sr_specs_path: string
content_root: string
profiles_paths: list<item: string>
  child 0, item: string
features_paths: list<item: string>
  child 0, item: string
requirements_paths: list<item: string>
  child 0, item: string
test_dirs: list<item: string>
  child 0, item: string
profiles: list<item: struct<id: int64, name: string, version: string, features: list<item: int64>>>
  child 0, item: struct<id: int64, name: string, version: string, features: list<item: int64>>
      child 0, id: int64
      child 1, name: string
      child 2, version: string
      child 3, features: list<item: int64>
          child 0, item: int64
features: list<item: struct<id: int64, name: string, version: string, tests: list<item: int64>, runtime: strin (... 3 chars omitted)
  child 0, item: struct<id: int64, name: string, version: string, tests: list<item: int64>, runtime: string>
      child 0, id: int64
      child 1, name: string
      child 2, version: string
      child 3, tests: list<item: int64>
          child 0, item: int64
      child 4, runtime: string
tests: list<item: struct<id: int64, name: string, version: string, test_file: string, engine: struct<tags:  (... 112 chars omitted)
  child 0, item: struct<id: int64, name: string, version: string, test_file: string, engine: struct<tags: list<item:  (... 100 chars omitted)
      child 0, id: int64
      child 1, name: string
      child 2, version: string
      child 3, test_file: string
      child 4
...
 null>
  child 0, item: null
discovery_errors: list<item: null>
  child 0, item: null
engine_coverage: struct<required_tags: list<item: string>, configured: list<item: struct<name: string, kind: string,  (... 56 chars omitted)
  child 0, required_tags: list<item: string>
      child 0, item: string
  child 1, configured: list<item: struct<name: string, kind: string, tags: list<item: string>>>
      child 0, item: struct<name: string, kind: string, tags: list<item: string>>
          child 0, name: string
          child 1, kind: string
          child 2, tags: list<item: string>
              child 0, item: string
  child 2, uncovered: list<item: null>
      child 0, item: null
purpose: string
asset_sha256: string
test_mass_kg_override: double
started_utc: string
usd_dependency_sha256: struct<assets\gripper_custom\usd\gripper_custom.usda: string, assets\gripper_custom\usd\runnables\ph (... 377 chars omitted)
  child 0, assets\gripper_custom\usd\gripper_custom.usda: string
  child 1, assets\gripper_custom\usd\runnables\physics\physx.usda: string
  child 2, assets\gripper_custom\usd\payloads\gripper_custom_base.usda: string
  child 3, assets\gripper_custom\usd\runnables\physics\newton.usda: string
  child 4, assets\gripper_custom\usd\payloads\gripper_custom_meshes.usda: string
  child 5, assets\gripper_custom\usd\payloads\gripper_custom_physics.usda: string
  child 6, assets\gripper_custom\usd\runnables\physics\mounting_physics.usda: string
hardware_payload_rating_claimed: bool
to
{'purpose': Value('string'), 'asset_sha256': Value('string'), 'usd_dependency_sha256': {'assets\\gripper_custom\\usd\\gripper_custom.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\physx.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_base.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\newton.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_meshes.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_physics.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\mounting_physics.usda': Value('string')}, 'hardware_payload_rating_claimed': Value('bool'), 'started_utc': Value('string'), 'test_mass_kg_override': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              plan_version: string
              created: string
              sr_specs_path: string
              content_root: string
              profiles_paths: list<item: string>
                child 0, item: string
              features_paths: list<item: string>
                child 0, item: string
              requirements_paths: list<item: string>
                child 0, item: string
              test_dirs: list<item: string>
                child 0, item: string
              profiles: list<item: struct<id: int64, name: string, version: string, features: list<item: int64>>>
                child 0, item: struct<id: int64, name: string, version: string, features: list<item: int64>>
                    child 0, id: int64
                    child 1, name: string
                    child 2, version: string
                    child 3, features: list<item: int64>
                        child 0, item: int64
              features: list<item: struct<id: int64, name: string, version: string, tests: list<item: int64>, runtime: strin (... 3 chars omitted)
                child 0, item: struct<id: int64, name: string, version: string, tests: list<item: int64>, runtime: string>
                    child 0, id: int64
                    child 1, name: string
                    child 2, version: string
                    child 3, tests: list<item: int64>
                        child 0, item: int64
                    child 4, runtime: string
              tests: list<item: struct<id: int64, name: string, version: string, test_file: string, engine: struct<tags:  (... 112 chars omitted)
                child 0, item: struct<id: int64, name: string, version: string, test_file: string, engine: struct<tags: list<item:  (... 100 chars omitted)
                    child 0, id: int64
                    child 1, name: string
                    child 2, version: string
                    child 3, test_file: string
                    child 4
              ...
               null>
                child 0, item: null
              discovery_errors: list<item: null>
                child 0, item: null
              engine_coverage: struct<required_tags: list<item: string>, configured: list<item: struct<name: string, kind: string,  (... 56 chars omitted)
                child 0, required_tags: list<item: string>
                    child 0, item: string
                child 1, configured: list<item: struct<name: string, kind: string, tags: list<item: string>>>
                    child 0, item: struct<name: string, kind: string, tags: list<item: string>>
                        child 0, name: string
                        child 1, kind: string
                        child 2, tags: list<item: string>
                            child 0, item: string
                child 2, uncovered: list<item: null>
                    child 0, item: null
              purpose: string
              asset_sha256: string
              test_mass_kg_override: double
              started_utc: string
              usd_dependency_sha256: struct<assets\gripper_custom\usd\gripper_custom.usda: string, assets\gripper_custom\usd\runnables\ph (... 377 chars omitted)
                child 0, assets\gripper_custom\usd\gripper_custom.usda: string
                child 1, assets\gripper_custom\usd\runnables\physics\physx.usda: string
                child 2, assets\gripper_custom\usd\payloads\gripper_custom_base.usda: string
                child 3, assets\gripper_custom\usd\runnables\physics\newton.usda: string
                child 4, assets\gripper_custom\usd\payloads\gripper_custom_meshes.usda: string
                child 5, assets\gripper_custom\usd\payloads\gripper_custom_physics.usda: string
                child 6, assets\gripper_custom\usd\runnables\physics\mounting_physics.usda: string
              hardware_payload_rating_claimed: bool
              to
              {'purpose': Value('string'), 'asset_sha256': Value('string'), 'usd_dependency_sha256': {'assets\\gripper_custom\\usd\\gripper_custom.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\physx.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_base.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\newton.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_meshes.usda': Value('string'), 'assets\\gripper_custom\\usd\\payloads\\gripper_custom_physics.usda': Value('string'), 'assets\\gripper_custom\\usd\\runnables\\physics\\mounting_physics.usda': Value('string')}, 'hardware_payload_rating_claimed': Value('bool'), 'started_utc': Value('string'), 'test_mass_kg_override': Value('float64')}
              because column names don't match

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Articulated robot gripper assets

Prepared by Qingyu Zhang (AlfredZhang98). Static conformance and configured simulation results are documented separately. No NVIDIA collection review or hardware certification is claimed.

Custom gripper

CTAG2F90-D

Asset Engine Pass (tests) Fail (tests) Error (tests) Skipped (tests)
gripper_ctag2f90d PhysX 17 0 0 3
gripper_ctag2f90d Newton 17 0 0 3
gripper_custom PhysX 17 0 0 3
gripper_custom Newton 17 0 0 3

Both grippers retain articulated physics. The custom gripper includes two copies of the supplied follower-rod STL. The full GLB supplies assembly and appearance references; it is not a single replacement rigid body. CTAG2F90-D appearance follows the photograph: charcoal metal, silver existing hardware and dark silicone pads. The GLB has 19 appearance materials but no mass or inertia fields.

Asset Rigid bodies (count) Revolute joints (count)
Custom gripper 7 6
CTAG2F90-D 7 6

The user confirmed that the measured custom total of 0.8056 kg includes both CNC-machined aluminium-alloy rods. Each rod is estimated at 0.024964965 kg using its closed STL volume and an explicit nominal density of 2700 kg/m3. Alloy grade and separate weights are unknown. Existing masses and inertia eigenvalues are scaled by 0.9380214372, retaining local centers of mass and principal-axis directions. These separate-body values are estimates, not independent measurements.

Separate base revolute joints follow the leader without redundant distal loop constraints. The original approximate parallel-jaw mechanism is retained. Maximum transferred distal-bore mismatch is 0.374417 mm over the 0.55 rad travel. This limitation is not represented as exact mechanism calibration.

Geometry source Bore or pivot spacing (mm)
Supplied rod STL 60.000
Original URDF main link 60.505

The interface USD references current base, geometry and neutral-physics layers. PhysX and Newton data are isolated in separate runtime payloads. Enable exactly one runtime; both are Disabled by default. Mounting=Free is the default for parent-robot attachment or free-body tests. Mounting=Fixed adds a world-to-base fixed joint for a bench at the asset origin. When moving or rotating a fixed bench, update the world anchor. Fixed-mode Robot Core requirements pass in separate official configuration validation. Independent MuJoCo asset support is not declared. Delivered asset materials use USD Preview Surface and do not include MDL or OpenPBR. The official display-colour test may use its own OpenPBR probe internally.

CTAG Newton uses 6 N m s/rad passive leader damping. This respects its strictest coupled follower speed with the original effort bound: minimum damping is 10 N m / (2 rad/s) = 5 N m s/rad, with numerical margin. Existing leader and follower speed limits are retained. This is a simulation approximation, not a measured motor curve. All CTAG Newton tests are repeated after this isolated change; unchanged PhysX physics is verified by composition signatures.

Existing effort and speed limits are retained. The following custom settings describe the simulation controller and numerical regularization, not hardware calibration. NewtonMimicAPI is isolated to Newton; the supported PhysX mimic API remains in PhysX.

Custom parameter PhysX Newton Unit
Leader position gain 30 100 N m/rad
Drive damping 0.3 0.3 N m s/rad
Effort limit 10 10 N m
Original joint numerical armature 0.01 0.1 kg m2
Added rod numerical armature 0.001 0.001 kg m2
Passive leader damping source settings 12.05 N m s/rad
Other three original joints, passive damping source settings 1 N m s/rad

These Newton contact settings are numerical parameters, not measured silicone or aluminium constitutive properties. Newton uses an elliptic friction cone. The tangential-gain mapping depends on this cone setting. Results do not establish equivalent behavior under different solver settings.

Newton parameter Pad Structure Unit
Normal stiffness 250000 10000 N/m
Normal damping 500 300 N s/m
Tangential gain 10000 1000 N s/m
Sliding friction 1 1 dimensionless
Adhesion 0 0 disabled
Solver parameter Value Unit
Outer frequency 240 Hz
Internal substeps 4 count
Internal time step 0.0010416667 s

The existing isaaclab Conda environment supplies Python 3.12.14 and Isaac Sim 6.1.0.0, internal build 6.1.0-rc.26, on RTX 5090. Project-scoped dependencies are selected only for task Isaac processes. Shared Conda dependency cleanliness is not asserted. NVIDIA benchmark 2026.8.0.post1 uses documented local patches for world-pin pose, invalid-camera cleanup and applying Newton configuration after each actual test-stage load. Test definitions, criteria, thresholds, measurements and verdicts are unchanged. These are official-suite results with disclosed local adapter configuration, not an unmodified vendor installation.

RTX images use official simready-thumbnail 2026.8.0 camera and lighting with Isaac Sim RTX Real-Time 2.0. Sources are 1024 x 1024 px; packaged thumbnails are 256 x 256 px. The default OVRTX backend was unavailable locally. Renderer substitution is disclosed. Test and render inputs record hashes of every delivered USD layer.

The custom gripper has no calibrated hardware payload or gripping-force rating. The user's estimate below 3 kg is not authored as maxPayload. Default object masses remain as reported by the suite; supplementary trials use explicit 0.50 kg objects. CTAG's 0.8 kg payload comes from the existing engineering table, which separately lists 0.8 kg self-weight. The public manufacturer page independently confirms self-weight only. Simulation tests do not certify hardware performance or NVIDIA collection acceptance.

Download simready-submission.zip for the reproducible project layout with assets/, submission/ and tools/. Individual asset folders are also available directly in this dataset.

See evidence/requirements_compliance.md and each asset’s usd/docs/VALIDATION.json. Manufacturer attribution is retained in CTAG SOURCE.txt. The distributor selected CC BY 4.0; independent manufacturer redistribution permission is not established in the supplied materials.

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