Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

ArXi:2604.21017v1 Announce Type: cross Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, cratize access to care, and enable superhuman precision. However, autonomous medical robotics has been limited by a fundamental data problem: existing medical robotic datasets are small, single-embodiment, and rarely shared openly, restricting the development of foundation models that the field needs to advance. We