Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation — Xue Han (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Shared by
Guoying Gu
Shanghai Jiao Tong University
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Article
2025
en
Authors
+5 more
XH
Xue Han
JR
Jieji Ren
WC
Wendi Chen
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Preprint
2025
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Xue Han
,
Jieji Ren
,
Wendi Chen
,
Gu Zhang
,
Yuan Fang
,
Guoying Gu
,
Huazhe Xu
,
Cewu Lu
Preprint
2025
FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
Longyan Wu
,
Chansu Yu
,
Jieji Ren
,
Li Chen
,
Ran Huang
,
Guoying Gu
,
Hongyang Li
Article
2026
TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks
Longyan Wu
,
Jieji Ren
,
Chenghang Jiang
,
Junxi Zhou
,
Shijia Peng
,
Ran Huang
,
Guoying Gu
,
Li Chen
,
Hongyang Li
Preprint
2026
TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks
Longyan Wu
,
Jieji Ren
,
Chenghang Jiang
,
Junxi Zhou
,
Shijia Peng
,
Ran Huang
,
Guoying Gu
,
Li Chen
,
Hongyang Li
Article
2014
Control Framework for Dexterous Manipulation Using Dynamic Visual Servoing and Tactile Sensors’ Feedback
Carlos A. Jara
,
Jorge Jorge Pomares
,
Francisco A. Candelas-Herías
,
Fernando Torres
.jpg){kind=small}
Discussion(0)
No comments yet. Be the first to comment.