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Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Dyadic Partnership(DP): A Missing Link Towards Full Autonomy in Medical Robotics
Nassir Navab, Zhongliang Jiang
For the past decades medical robotic solutions were mostly based on the concept of tele-manipulation. While their design was extremely intelligent, allowing for better access, impr…
OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research
Siddhartha Kapuria, Mohammad Rafiee Javazm, Naruhiko Ikoma +4
Colorectal cancer screening critically depends on colonoscopy, yet existing platforms offer limited support for systematically studying the coupled dynamics of operator control, in…
DAISS: Phase-Aware Imitation Learning for Dual-Arm Robotic Ultrasound-Guided Interventions
Feng Li, Pei Liu, Shiting Wang +4
Imitation learning has shown strong potential for automating complex robotic manipulation. In medical robotics, ultrasound-guided needle insertion demands precise bimanual coordina…
RAG-RUSS: A Retrieval-Augmented Robotic Ultrasound for Autonomous Carotid Examination
Dianye Huang, Ziping Cong, Nassir Navab +1
Robotic ultrasound (US) has recently attracted increasing attention as a means to overcome the limitations of conventional US examinations, such as the strong operator dependence.…