arXiv 2610.09455 · cs.CV · 2026-10-07
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
Seungjun Moon, Subin Jeon, Sangwoo Kim, Hanbyul Joo, Jinwoo Shin
RLWRLD
In latest · #260 Added on 2026-10-21
One-line takeaway
RLHND uses a video foundation model to estimate hand pose and touch from egocentric video, making human videos more useful for robots.
RLHND 基于视频基础模型从第一视角视频估计手部姿态和触觉信息，让人类视频更好地用于机器人学习。
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Topics & disciplines
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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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