Chuan Wen
Chuan Wen is a tenure-track Assistant Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University. He obtained his Ph.D. from the Institute for Interdisciplinary Information Science at Tsinghua University, advised by Prof. Yang Gao, and was a visiting scholar at UC Berkeley's BAIR lab under Prof. Pieter Abbeel. His research focuses on embodied AI and robotic manipulation, and he has published extensively on imitation learning, visual-force policies, and foundation policies for robotic manipulation at top-tier conferences including ICML, ICLR, RSS, and CoRL.
“FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation”
Source→“standard diffusion policies use a fixed inference frequency and sampling steps throughout the episode, forcing a fundamental compromise: low-frequency, multi-step sampling better preserves pre-contact multimodality but responds slowly to force feedback, whereas high-frequency sampling improves reactivity but tends to collapse distinct pre-contact modes.”
Source→“Chuan Wen: Corresponding author, co-leading the research on reactive diffusion policies.”
Source→“Chuan Wen — Shanghai Jiao Tong University. Co-advisor. Co-author on multiple recent force-aware and online post-training papers from the same group.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.