6 papers
Arm-Aware Guided Dexterous Grasp Generation with Arm-Agnostic Grasp Models
Yongyi Jia, Yongpeng Jiang, Kangchen Lv +3
Dexterous grasp generation that considers arm-related constraints is crucial in real-world scenarios involving arm environment collision avoidance, workspace boundary grasps, and c…
HUGS: Guiding Unified Dexterous Grasp Synthesis Across Modes and Scales via Learned Human Priors
Mingrui Yu, Yongpeng Jiang, Yongyi Jia +4
Dexterous grasping across diverse object scales requires contact modes ranging from two-finger pinches to bimanual grasps. Existing dexterous grasp synthesis methods reduce the hig…
CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty
Mingrui Yu, Yongpeng Jiang, Yongyi Jia +3
While recent research has focused heavily on dexterous grasp pose generation, less attention has been devoted to the execution of planned grasps. Under shape and position uncertain…
Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation
Chendong Xin, Mingrui Yu, Yongpeng Jiang +2
Kinematic retargeting from human hands to robot hands is essential for transferring dexterity from humans to robots in manipulation teleoperation and imitation learning. However, d…
Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking
Yongpeng Jiang, Mingrui Yu, Xinghao Zhu +2
Robotic dexterous in-hand manipulation, where multiple fingers dynamically make and break contact, represents a step toward human-like dexterity in real-world robotic applications.…
Robotic In-Hand Manipulation for Large-Range Precise Object Movement: The RGMC Champion Solution
Mingrui Yu, Yongpeng Jiang, Chen Chen +2
In-hand manipulation using multiple dexterous fingers is a critical robotic skill that can reduce the reliance on large arm motions, thereby saving space and energy. This letter fo…