2 papers
cs.RO2026
RobotAPO: Adversarial Physics Preference Optimization for Robotic Manipulation Video Generation
Kerui Li, Zhe Jing, Chenyi Huang +4
Robotic manipulation videos are increasingly used as visual plans for embodied agents, but optimizing purely for visual plausibility often fails to capture the fragile physical man…
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…