3 papers
cs.RO2026
Generative Simulation for Policy Learning in Physical Human-Robot Interaction
Junxiang Wang, Xinwen Xu, Tiancheng Wu +3
Developing autonomous physical human-robot interaction (pHRI) systems is limited by the scarcity of large-scale training data to learn robust robot behaviors for real-world applica…
cs.RO2026
Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction
Hongyi Chen, Tony Dong, Tiancheng Wu +7
Multi-finger robotic hand manipulation and grasping are challenging due to the high-dimensional action space and the difficulty of acquiring large-scale training data. Existing app…
cs.RO2025
Geometric Red-Teaming for Robotic Manipulation
Divyam Goel, Yufei Wang, Tiancheng Wu +4
Standard evaluation protocols in robotic manipulation typically assess policy performance over curated, in-distribution test sets, offering limited insight into how systems fail un…