6 citations · 12 across the 7 of their papers we have counts for
7 papers
Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning
Runyu Ding, Yuzhe Qin, Jiyue Zhu +5
Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots with bimanual dexterous hands remains a challenge. Existing teleoperation systems strugg…
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Pengwei Xie, Rui Chen, Siang Chen +6
Manipulating unseen articulated objects through visual feedback is a critical but challenging task for real robots. Existing learning-based solutions mainly focus on visual afforda…
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin +4
Using tactile sensors for manipulation remains one of the most challenging problems in robotics. At the heart of these challenges is generalization: How can we train a tactile-base…
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang +4
We introduce CyberDemo, a novel approach to robotic imitation learning that leverages simulated human demonstrations for real-world tasks. By incorporating extensive data augmentat…
Dynamic Handover: Throw and Catch with Bimanual Hands
Binghao Huang, Yuanpei Chen, Tianyu Wang +4
Humans throw and catch objects all the time. However, such a seemingly common skill introduces a lot of challenges for robots to achieve: The robots need to operate such dynamic ac…
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
Chen Bao, Helin Xu, Yuzhe Qin +1
To enable general-purpose robots, we will require the robot to operate daily articulated objects as humans do. Current robot manipulation has heavily relied on using a parallel gri…