CLARU
introvoyz0412026cc-by-4.0

Open-H-Embodiment

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

Downloads118K
Episodes120000
Hours750

Why This Matters for Physical AI

This dataset enables training of foundation models and autonomy systems for surgical and medical robotics by providing large-scale paired demonstrations of robot kinematics and visual observations from real clinical and simulated healthcare applications.

Technical Profile

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

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