4 papers
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…
GarmentTracking: Category-Level Garment Pose Tracking
Han Xue, Wenqiang Xu, Jieyi Zhang +5
Garments are important to humans. A visual system that can estimate and track the complete garment pose can be useful for many downstream tasks and real-world applications. In this…
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…