9 citations · 29 across the 16 of their papers we have counts for
8 papers · 1 filter
Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLA
Tutian Tang, Xingyu Ji, Wanli Xing +7
While Vision-Language-Action (VLA) models have demonstrated remarkable success in robotic manipulation, their application has largely been confined to low-degree-of-freedom end-eff…
FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration
Yutong Li, Jieyi Zhang, Wenqiang Xu +2
Accurate hand motion capture (MoCap) is vital for applications in robotics, virtual reality, and biomechanics, yet existing systems face limitations in capturing high-degree-of-fre…
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…
DexTOG: Learning Task-Oriented Dexterous Grasp with Language
Jieyi Zhang, Wenqiang Xu, Zhenjun Yu +3
This study introduces a novel language-guided diffusion-based learning framework, DexTOG, aimed at advancing the field of task-oriented grasping (TOG) with dexterous hands. Unlike…
DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning
Wenqiang Xu, Jieyi Zhang, Tutian Tang +3
Grasp planning is an important task for robotic manipulation. Though it is a richly studied area, a standalone, fast, and differentiable grasp planner that can work with robot grip…
Kalib: Easy Hand-Eye Calibration with Reference Point Tracking
Tutian Tang, Minghao Liu, Wenqiang Xu +1
Hand-eye calibration aims to estimate the transformation between a camera and a robot. Traditional methods rely on fiducial markers, which require considerable manual effort and pr…
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…
RFUniverse: A Multiphysics Simulation Platform for Embodied AI
Haoyuan Fu, Wenqiang Xu, Ruolin Ye +7
Multiphysics phenomena, the coupling effects involving different aspects of physics laws, are pervasive in the real world and can often be encountered when performing everyday hous…