| { | |
| "application": "simforge-workshop", | |
| "version": "0.6.0", | |
| "parent_job_id": null, | |
| "generated_at": "2026-10-23T09:37:24.523518+00:00", | |
| "config": { | |
| "kind": "recovery", | |
| "backend": "mujoco", | |
| "name": "RGB-D 失效对照 · 同条件独立种子留出", | |
| "product_id": "sensor_failure_benchmark", | |
| "coverage_repeats": 1, | |
| "coverage_split": "matched_conditions", | |
| "customer_brief": "流程验证小样：四种条件各自在训练、验证、测试中具备独立种子的场景对；用于分开检查同条件泛化与未知条件压力评测。非真实客户数据。", | |
| "scenario_id": "machine_tending", | |
| "object_shape": "box", | |
| "material": "opaque", | |
| "background": "studio", | |
| "lighting": "studio", | |
| "difficulty": "standard", | |
| "object_scale": 1.0, | |
| "object_mass_kg": 0.1, | |
| "surface_friction": 1.1, | |
| "camera_jitter": 0.0, | |
| "sensor_profile": "clean", | |
| "sensor_severity": 0.5, | |
| "empirical_sensor_profile": null, | |
| "episodes": 24, | |
| "split_strategy": "single_train", | |
| "frames_per_episode": 140, | |
| "fps": 20, | |
| "width": 160, | |
| "height": 120, | |
| "seed": 20261024, | |
| "camera_count": 1, | |
| "failure_types": [ | |
| "slip" | |
| ], | |
| "blender_samples": 16 | |
| }, | |
| "production_plan": "production_plan.json", | |
| "production_plan_sha256": "f55a84aa67c56fbdc3e4f43af544bb1763ee7bf05553a87a918b69dbdaadd459", | |
| "training_readiness": "training_readiness.json", | |
| "sensor_report": "sensors/report.json", | |
| "sensor_calibrated": false, | |
| "input_contract": "dataset/meta/input_contract.json", | |
| "upstream_sources": { | |
| "schema_version": 1, | |
| "acquired_at": "2026-10-22T11:22:49.839268+00:00", | |
| "notes": [ | |
| "Source snapshots only; clone is not installation or execution.", | |
| "Existing trees are not reset, pulled, deleted or updated.", | |
| "Each asset and dependency license requires separate review." | |
| ], | |
| "sources": [ | |
| { | |
| "name": "FailSafe", | |
| "url": "https://github.com/Jimntu/FailSafe_code.git", | |
| "license": "MIT", | |
| "role": "ManiSkill failure/recovery reference implementation", | |
| "windows_sparse_paths": [ | |
| "assets", | |
| "data", | |
| "examples", | |
| "failgen", | |
| "ManiSkill/mani_skill", | |
| "ManiSkill/examples" | |
| ], | |
| "status": "existing", | |
| "path": "external/FailSafe", | |
| "commit": "b863aaecc50407a769c191f67d79ddfaab9f6880", | |
| "licenses": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "f5ca7719dacf332c7cc5d007044cce3146e919bf1a8ca1effe9926d681335b0e" | |
| } | |
| ], | |
| "lfs_payloads_downloaded": false, | |
| "checkout_scope": "Windows sparse source checkout; benchmark documentation excluded", | |
| "working_tree_dirty": false | |
| }, | |
| { | |
| "name": "BlenderProc", | |
| "url": "https://github.com/DLR-RM/BlenderProc.git", | |
| "license": "GPL-3.0", | |
| "role": "Blender-based rendering and annotation reference pipeline", | |
| "status": "existing", | |
| "path": "external/BlenderProc", | |
| "commit": "76bd8b82ee19489843578ff045298642197bf883", | |
| "licenses": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "0b383d5a63da644f628d99c33976ea6487ed89aaa59f0b3257992deac1171e6b" | |
| } | |
| ], | |
| "lfs_payloads_downloaded": false, | |
| "checkout_scope": "default tracked tree", | |
| "working_tree_dirty": false | |
| }, | |
| { | |
| "name": "RoboTwin", | |
| "url": "https://github.com/RoboTwin-Platform/RoboTwin.git", | |
| "license": "MIT", | |
| "role": "Bimanual operation data generation reference implementation", | |
| "status": "existing", | |
| "path": "external/RoboTwin", | |
| "commit": "ea8b21121ebb3cd201ff5b3fe361944ac94eda3f", | |
| "licenses": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "2aa88b4e1d3257a210a516ad3df3d7f322d03c4285e432d35976980cdb9622fa" | |
| } | |
| ], | |
| "lfs_payloads_downloaded": false, | |
| "checkout_scope": "default tracked tree", | |
| "working_tree_dirty": false | |
| } | |
| ] | |
| }, | |
| "assets": "procedurally authored by this project; no TransFrag27K/MimicGen assets used", | |
| "real_robot_transfer_tested": false | |
| } |