CLARU
nvidia2026cc-by-4.0

Open-H-Embodiment

A community-driven, multi-embodiment dataset of paired kinematics and video for training and evaluating AI autonomy models in surgical robotics and ultrasound applications, including tabletop exercises, clinical procedures, and healthcare robotics simulations.

Downloads76K
Episodes120000
Hours750
Likes18

Why This Matters for Physical AI

This dataset provides large-scale, multi-embodiment paired video and kinematics data essential for training foundation models and autonomy systems for surgical and medical robotics applications.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
surgical_robotultrasound_robot
Action Space
joint_positions
Environment
labclinicalsimulation
Task Types
manipulationsurgical_proceduresultrasound_tasks
Episodes
120000
Total Hours
750
Data Format
LeRobot
Annotation Types
action_labels
License
cc-by-4.0
Part of the Open-H-Embodiment family

Community Signals

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