4 papers · 1 filter
SemAnCorr: Semantic Anchored Correspondence for Zero-Shot Manipulation Skill Transfer
Xiaoxiang Dong, William Baron, Hongyi Chen +3
Transferring manipulation skills across object instances that share functionality but differ in geometry remains a fundamental challenge in robot learning. While recent corresponde…
Affordance Transfer Across Object Instances via Semantically Anchored Functional Map
Xiaoxiang Dong, Weiming Zhi
Traditional learning from demonstration (LfD) generally demands a cumbersome collection of physical demonstrations, which can be time-consuming and challenging to scale. Recent adv…
Cross-Modal Instructions for Robot Motion Generation
William Barron, Xiaoxiang Dong, Matthew Johnson-Roberson +1
Teaching robots novel behaviors typically requires motion demonstrations via teleoperation or kinaesthetic teaching, that is, physically guiding the robot. While recent work has ex…
Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations
Xiaoxiang Dong, Matthew Johnson-Roberson, Weiming Zhi
Learning from human video demonstrations offers a scalable alternative to teleoperation or kinesthetic teaching, but poses challenges for robot manipulators due to embodiment diffe…