5 citations · 10 across the 9 of their papers we have counts for
7 papers · 1 filter
SpaceDex: Generalizable Dexterous Grasping in Tiered Workspaces
Wensheng Wang, Chuanjun Guo, Wei Wei +2
Generalizable grasping with high-degree-of-freedom (DoF) dexterous hands remains challenging in tiered workspaces, where occlusion, narrow clearances, and height-dependent constrai…
ScaleADFG: Affordance-based Dexterous Functional Grasping via Scalable Dataset
Sizhe Wang, Yifan Yang, Yongkang Luo +8
Dexterous functional tool-use grasping is essential for effective robotic manipulation of tools. However, existing approaches face significant challenges in efficiently constructin…
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Yongkang Luo, Wanyi Li, Peng Wang +3
Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand is extremely difficult because of the high-dimensional state and action spaces, rich contact patterns betwe…
Generalized Anthropomorphic Functional Grasping with Minimal Demonstrations
Wei Wei, Peng Wang, Sizhe Wang
This article investigates the challenge of achieving functional tool-use grasping with high-DoF anthropomorphic hands, with the aim of enabling anthropomorphic hands to perform tas…
Learning Tri-mode Grasping for Ambidextrous Robot Picking
Chenlin Zhou, Peng Wang, Wei Wei +3
Object picking in cluttered scenes is a widely investigated field of robot manipulation, however, ambidextrous robot picking is still an important and challenging issue. We found t…
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Wei Wei, Daheng Li, Peng Wang +4
Grasping with anthropomorphic robotic hands involves much more hand-object interactions compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the stu…
GPR: Grasp Pose Refinement Network for Cluttered Scenes
Wei Wei, Yongkang Luo, Fuyu Li +4
Object grasping in cluttered scenes is a widely investigated field of robot manipulation. Most of the current works focus on estimating grasp pose from point clouds based on an eff…