3 papers
cs.LG2026
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
Yuejiang Liu, Fan Feng, Lingjing Kong +6
General-purpose world models promise scalable policy evaluation, optimization, and planning, yet achieving the required level of robustness remains challenging. Unlike policy learn…
cs.RO2026
RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
Zewei Ye, Weifeng Lu, Minghao Ye +4
Vision-Language-Action (VLA) models have recently advanced robotic manipulation by translating natural-language instructions and visual observations into control actions. However,…
cs.RO2025
Collaborative Assembly Policy Learning of a Sightless Robot
Zeqing Zhang, Weifeng Lu, Lei Yang +3
This paper explores a physical human-robot collaboration (pHRC) task involving the joint insertion of a board into a frame by a sightless robot and a human operator. While admittan…