activity
20242026
most citedFoldNet: Learning Generalizable Closed-Loop Policy for Garment Folding via Keypoint-Driven Asset and Demonstration Synthesis

1 citations · 1 across the 12 of their papers we have counts for

collaborators

14 papers

cs.RO2026

Uni-PNP: Unified Prehensile and Non-prehensile Policy Learning for Generalizable Object Pose Reaching

Wenxuan Zhu, Yuze Wang, Jiangran Lyu +6

Object manipulation often requires combining non-prehensile actions with grasping. However, existing approaches typically develop these capabilities separately and integrate them b…

cs.RO2026

CQDC-Warp: GPU-Accelerated Differentiable Quasi-Dynamic Simulation for Contact-Rich Manipulation

Yanchen Ding, Jiayi Chen, Jianfeng Xu +3

Efficient synthesis of contact-rich manipulation trajectories is essential for downstream robot learning. Gradient-based planning offers a promising approach, but jointly optimizin…

cs.RO2026

GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning

Long Xu, Zhiqi Zhang, Mi Yan +8

Robot manipulation foundation models require scalable evaluation and data generation across diverse scenarios, with simulation providing an environment for both. Automated scene ge…

cs.RO2026

KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation

Yuansen Huang, Jiayi Chen, Haoran Liu +6

Generating high-quality dexterous grasps remains challenging for learning-based methods, which often depend on carefully tuned contact losses or costly contact-based test-time refi…

cs.RO2026

BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes

Mu Lin, Yi-Lin Wei, Jiaxuan Chen +7

Bimanual dexterous grasping is a fundamental and promising area in robotics, yet its progress is constrained by the lack of comprehensive datasets and powerful generation models. I…

cs.RO2026

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Zhikai Zhang, Haofei Lu, Yunrui Lian +12

Human athletes demonstrate versatile and highly-dynamic tennis skills to successfully conduct competitive rallies with a high-speed tennis ball. However, reproducing such behaviors…

cs.RO2026

TacDexGrasp: Compliant and Robust Dexterous Grasping with Tactile Feedback

Yubin Ke, Jiayi Chen, Hang Lv +2

Multi-fingered hands offer great potential for compliant and robust grasping of unknown objects, yet their high-dimensional force control presents a significant challenge. This wor…

cs.RO2026

GraspADMM: Improving Dexterous Grasp Synthesis via ADMM Optimization

Liangwang Ruan, Jiayi Chen, He Wang +1

Synthesizing high-quality dexterous grasps is a fundamental challenge in robot manipulation, requiring adherence to diversity, kinematic feasibility (valid hand-object contact with…

cs.RO2025

Robust Differentiable Collision Detection for General Objects

Jiayi Chen, Wei Zhao, Liangwang Ruan +2

Collision detection is a core component of robotics applications such as simulation, control, and planning. Traditional algorithms like GJK+EPA compute witness points (i.e., the cl…

cs.RO2025★ 1 cited

FoldNet: Learning Generalizable Closed-Loop Policy for Garment Folding via Keypoint-Driven Asset and Demonstration Synthesis

Yuxing Chen, Bowen Xiao, He Wang

Due to the deformability of garments, generating a large amount of high-quality data for robotic garment manipulation tasks is highly challenging. In this paper, we present a synth…

cs.RO2025

Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy

Jiayi Chen, Yubin Ke, Lin Peng +1

Generalizable dexterous grasping with suitable grasp types is a fundamental skill for intelligent robots. Developing such skills requires a large-scale and high-quality dataset tha…

cs.RO2024

BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization

Jiayi Chen, Yubin Ke, He Wang

Robotic dexterous grasping is important for interacting with the environment. To unleash the potential of data-driven models for dexterous grasping, a large-scale, high-quality dat…

cs.RO2024

RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments

Yuxing Chen, Songlin Wei, Bowen Xiao +4

For the task of hanging clothes, learning how to insert a hanger into a garment is a crucial step, but has rarely been explored in robotics. In this work, we address the problem of…

cs.RO2024

ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real

Jiangran Lyu, Yuxing Chen, Tao Du +4

This paper tackles the challenging robotic task of generalizable paper cutting using scissors. In this task, scissors attached to a robot arm are driven to accurately cut curves dr…