4 papers
ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations
Chenhao Yu, Hongwu Wang, Weitao Zhang +5
Humanoid robots are increasingly expected to perform contact-rich tasks that require not only accurate whole-body motion but also robust physical interaction with surrounding objec…
HumanoidUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation
Hongwu Wang, Chenhao Yu, Youhao Hu +3
High-quality demonstration data are essential for humanoid robot skill learning, especially for whole-body behaviors that require coordinated perception, locomotion, and manipulati…
AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction
Aiza Maksutova, Lalithkumar Seenivasan, Hao Ding +5
Surgical action automation has progressed rapidly toward achieving surgeon-like dexterous control, driven primarily by advances in learning from demonstration and vision-language-a…
SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
Sampath Rapuri, Lalithkumar Seenivasan, Dominik Schneider +9
A surgical world model capable of generating realistic surgical action videos with precise control over tool-tissue interactions can address fundamental challenges in surgical AI a…