2 papers
cs.RO2026
PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation
Chunghyun Park, Beomjun Kim, Seungcheol Park +5
World action models jointly learn to forecast world dynamics and predict robot actions, such that the learned internal world dynamics guide accurate actions. Existing approaches ty…
cs.RO2026
Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations
Beomjun Kim, Seong Hyeon Park, Seunghoon Sim +3
Robotic foundation models pre-trained on human demonstration videos have shown promise, but a significant embodiment gap remains when the resulting policies are deployed on real ro…