3 papers
cs.RO2026
MACAW: Reliable And Efficient Surgical Debridement Using Monocular Adaptive Compact Attention Windows
Ziyang Chen, Shutong Jin, Preethi Satish +6
Augmenting the dexterity of human surgeons has the potential to free them from tedious subtasks. We consider debridement (removal of diseased or dead tissue fragments), which is ch…
cs.RO2026
Adversarial Attacks on Learned Policies for Surgical Robotic Tasks
Shutong Jin, Ziyang Chen, Preethi Satish +3
Learning-based policies are being considered to augment the dexterity of human surgeons in robot-assisted surgery. Can the end-to-end mapping from visual observations to robot acti…
cs.RO2026
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…