Datasets:
Download eef/models.json from OneWorld-AI/RoboMIND2.0-processed: direct link, hf CLI and curl.
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- Download file 20.5 kB
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https://huggingface.co/datasets/OneWorld-AI/RoboMIND2.0-processed/resolve/main/eef/models.json
- Command line
-
hf download hf://datasets/OneWorld-AI/RoboMIND2.0-processed/eef/models.json
-
curl -L -o models.json https://huggingface.co/datasets/OneWorld-AI/RoboMIND2.0-processed/resolve/main/eef/models.json
20.5 kB
| { | |
| "schema_version": 1, | |
| "position_units": "metres", | |
| "quaternion_order": "xyzw", | |
| "endpoint_contract": "Rigid terminal-arm attachment independent of finger articulation; no universal gripper-centre TCP", | |
| "per_episode_frame_names": "base_frames and endpoints in each companion JSON", | |
| "camera_geometry": "Existing per-view camera metadata remains separate. Reprojection is not certified across all episodes.", | |
| "Franka": { | |
| "base_frames": [ | |
| "left:panda_link0", | |
| "right:panda_link0" | |
| ], | |
| "endpoints": [ | |
| "left:panda_link8", | |
| "right:panda_link8" | |
| ], | |
| "source": "https://github.com/Open-X-Humanoid/RoboMIND-dataset-utils/blob/77d7b311cbf2f16624c941f46b2a75042858ff06/eepose/urdf/franka/panda.urdf", | |
| "sample_comparison_to_recorded_state": { | |
| "position_rms_m": 0.0004936879709087665, | |
| "rotation_rms_rad": 0.0009590865981782139, | |
| "pose_probes": 8192 | |
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| "chains": [ | |
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| "tip": "panda_link8", | |
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| "panda_joint2", | |
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| "urdf_sha256": "edbd4d39bf058837a9b65ddd9dab5a634b53911a320cb876ce5968c86fe5d8a3" | |
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| "UR5": { | |
| "base_frames": [ | |
| "left:UR5e_DH_base", | |
| "right:UR5e_DH_base" | |
| ], | |
| "endpoints": [ | |
| "left:tool0", | |
| "right:tool0" | |
| ], | |
| "source": "https://www.universal-robots.com/developer/hardware-and-motion/robot-motion-dh-parameters/", | |
| "standard_DH": { | |
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| "reason_for_joint_FK": "Recorded orientations mix correct encoding and a rotation-vector-as-Euler pattern. Both state and command poses are rebuilt from their corresponding joints after diagnosis.", | |
| "nominal_not_factory_calibrated": true, | |
| "command_review_episode_ids": [ | |
| "episode-17b9a9076462f3968e3455400ccd6d87f67b688294221a8bc274eb2a46ce594a", | |
| "episode-2ddd2e1082689571a038f343359f8a7f5f8917b2ca6659edc8e36f50e5a0a237", | |
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| }, | |
| "AgileX": { | |
| "urdf": "aloha_new.urdf", | |
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| "joint_order": [ | |
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| "joint2", | |
| "joint3", | |
| "joint4", | |
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| "source": "Dataset authors' recommended AgileX model and joint order", | |
| "model_sha256": "d4a115493af6a67ef969cfb8686b54f2970225b617ec6dd99cf682c0c4c7b6e9", | |
| "manufacturer_match": "Byte-identical to agilexrobotics/Mobile_aloha_sim at f799ae0192c0c2bbd502ec4d9bbec8c2633acd1a", | |
| "upstream_mapping": "Open-X-Humanoid/RoboMIND-dataset-utils/eepose/joint2pose.py at 77d7b311cbf2f16624c941f46b2a75042858ff06", | |
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| "fl_link6", | |
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| "camera_reprojection_validated": false, | |
| "note": "Model-based reconstruction. Invalid native EEF fields are not treated as ground truth, and no fitted offsets from those fields are applied.", | |
| "manufacturer_source": "https://github.com/agilexrobotics/Mobile_aloha_sim/blob/f799ae0192c0c2bbd502ec4d9bbec8c2633acd1a/aloha_new_description/urdf/aloha_new.urdf", | |
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