3 citations · 3 across the 5 of their papers we have counts for
5 papers
FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy
Yijin Chen, Wenqiang Xu, Zhenjun Yu +4
Dexterous in-hand manipulation is a long-standing challenge in robotics due to complex contact dynamics and partial observability. While humans synergize vision and touch for such…
Intersection-free Robot Manipulation with Soft-Rigid Coupled Incremental Potential Contact
Wenxin Du, Siqiong Yao, Xinlei Wang +3
This paper presents a novel simulation platform, ZeMa, designed for robotic manipulation tasks concerning soft objects. Such simulation ideally requires three properties: two-way s…
Differentiable Cloth Parameter Identification and State Estimation in Manipulation
Dongzhe Zheng, Siqiong Yao, Wenqiang Xu +1
In the realm of robotic cloth manipulation, accurately estimating the cloth state during or post-execution is imperative. However, the inherent complexities in a cloth's dynamic be…
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning
Zhenjun Yu, Wenqiang Xu, Siqiong Yao +5
This work presents a novel tactile perception-based method, named T-NT, for performing the needle-threading task, an application of deformable linear object (DLO) manipulation. Thi…
Visual-Tactile Sensing for In-Hand Object Reconstruction
Wenqiang Xu, Zhenjun Yu, Han Xue +3
Tactile sensing is one of the modalities humans rely on heavily to perceive the world. Working with vision, this modality refines local geometry structure, measures deformation at…