RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
Paper • 2610.09455 • Published • 19
SeungJun
seungjun-moon
AI & ML interests
None yet
Recent Activity
authored a paper about 1 hour ago
Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations authored a paper about 1 hour ago
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning submitted a paper about 14 hours ago
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot LearningOrganizations
