Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor

28 January 2025

Papers citing "Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor"

6 / 6 papers shown

Title
KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation Di Zhang Chengbo Yuan Chuan Wen H. Zhang Junqiao Zhao Yang Gao 29 0 0 04 May 2025
On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting Niklas Funk Changqi Chen Tim Schneider Georgia Chalvatzaki Roberto Calandra Jan Peters 23 0 0 18 Apr 2025
Towards Forceful Robotic Foundation Models: a Literature Survey William Xie N. Correll OffRL 56 0 0 16 Apr 2025
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks Trevor Ablett Bryan Chan Jonathan Kelly 37 10 0 30 Dec 2022
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 147 469 0 06 Aug 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 69 94 0 22 Apr 2021