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HOME/PEOPLE/PEILIN MENG
// PERSON

Peilin Meng

ROLE CO-LEAD AUTHORAT UNIVERSITY OF MICHIGANMENTIONS 1LAST SEEN SEPTEMBER 21, 2026
// BIO

Peilin Meng is a researcher affiliated with the University of Michigan who works on robot manipulation policy learning. He is a co-author on H2RBench, a Real2Sim benchmark for evaluating human-to-robot transfer methods, and on JAMB, a diffusion policy for coordinated bimanual manipulation that jointly denoises actions and future 3D point tracks. His work has been accepted to the Conference on Robot Learning (CoRL 2026).

// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·SEPTEMBER 21, 2026

“Peilin Meng - Co-lead author, contributing to the development and evaluation of the bimanual manipulation framework.”

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Peilin Meng — 1 mention on Teahose