contact-rich manipulation 1diffusion policies 1frequency adaptation 1multimodality 1reactive control 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.RO2026
FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation
Lifeng Zhuo, Wendi Chen, Han Xue +4
The paper introduces FA-RDP, a diffusion‑based policy that adapts its inference frequency during contact‑rich manipulation, using a multi‑frequency visual‑force transformer and a m…
cs.CV2026
RESBev: Making BEV Perception More Robust
Lifeng Zhuo, Kefan Jin, Zhe Liu +1
Bird's-eye-view (BEV) perception has emerged as a cornerstone of autonomous driving systems, providing a structured, ego-centric representation critical for downstream planning and…
cs.AI2026
IPR-1: Interactive Physical Reasoner
Mingyu Zhang, Lifeng Zhuo, Tianxi Tan +8
Humans learn by observing, interacting with environments, and internalizing physics and causality. Here, we aim to ask whether an agent can similarly acquire human-like reasoning f…