5 citations · 5 across the 12 of their papers we have counts for
5 papers · 1 filter
AGRO-SUVIDE: Agentic Robotics for Surgical Viscoelastic Debridement
Shutong Jin, Ziyang Chen, Preethi Satish +5
Augmented dexterity has the potential to reduce the fatigue experienced by surgeons during repetitive surgical tasks. In this paper, we propose the first AGentic RObotics framework…
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…
Adversarial Vulnerabilities of Learned Telesurgery Policies
Shutong Jin, Ziyang Chen, Preethi Satish +3
While not yet in clinical deployment, learning-based policies are increasingly considered to augment the dexterity of human surgeons in robot-assisted surgery. Can the end-to-end m…
Speculative Policy Orchestration: A Latency-Resilient Framework for Cloud-Robotic Manipulation
Chanh Nguyen, Shutong Jin, Florian T. Pokorny +1
Cloud robotics enables robots to offload high-dimensional motion planning and reasoning to remote servers. However, for continuous manipulation tasks requiring high-frequency contr…
RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation
Shutong Jin, Jin Yang, Muhammad Zahid +1
In this paper, we introduce RoboLight, the first real-world robotic manipulation dataset capturing synchronized episodes under systematically varied lighting conditions. RoboLight…