Yunjin Fu — accepted AI-conference papers

2026

MoReL: A Generalizable Framework for Dexterous Hand Retargeting via Modular Residual Reinforcement Learning

Zhenghan Wang, Yongkang Luo, Dashun Yan, Yifan Yang, Yunjin Fu, Jia Sun +2

RA-L 2026

Effective motion retargeting is essential for robotic hands to perform fine-grained teleoperated manipulation. However, existing methods face several key challenges: optimization-based approaches offer accurate reproduction but suffer from high computational latency; learning-based methods provide f

Cited by 0 Source ↗Scholar ↗

2026

ScaleADFG: Affordance-Based Dexterous Functional Grasping via Scalable Dataset

Sizhe Wang, Yifan Yang, Yongkang Luo, Daheng Li, Wei Wei, Yan Zhang +5

RA-L 2026

Dexterous functional tool-use grasping is essential for effective robotic manipulation of tools. However, existing approaches face significant challenges in efficiently constructing large-scale datasets and ensuring generalizability to everyday object scales. These issues primarily arise from size m

Cited by 1 Source ↗code ↗Scholar ↗