3 papers
cs.RO2026
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…
cs.RO2025
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…
cs.CV2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Wanyi Li, Wei Wei, Yongkang Luo +1
Few-shot class-incremental learning (FSCIL) poses significant challenges for artificial neural networks due to the need to efficiently learn from limited data while retaining knowl…