// PERSON
Xinye Yang
ROLE RESEARCHERMENTIONS 1LAST SEEN JULY 7, 2026
// BIO
Xinye Yang is a researcher affiliated with Fudan University and Zhongguancun Academy who co-leads work on dexterous robotic hand manipulation. He is a co-first author of LAMP (Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation), a framework that combines imitation learning with online reinforcement learning to enable real-world dexterous hand manipulation tasks. The paper is a collaboration involving Fudan University, Tsinghua University, Peking University, and PsiBot.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
product·arXiv Physical AI·JULY 7, 2026
“LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.