// 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.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.