6 papers
BLaDA: Bridging Language to Functional Dexterous Actions within 3DGS Fields
Fan Yang, Wenrui Chen, Guorun Yan +7
In unstructured environments, functional dexterous grasping calls for the tight integration of semantic understanding, precise 3D functional localization, and physically interpreta…
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models
Siyu Li, Fei Teng, Yihong Cao +3
Birds' Eye View (BEV) semantic segmentation is an indispensable perception task in end-to-end autonomous driving systems. Unsupervised and semi-supervised learning for BEV tasks, a…
UniFucGrasp: Human-Hand-Inspired Unified Functional Grasp Annotation Strategy and Dataset for Diverse Dexterous Hands
Haoran Lin, Wenrui Chen, Xianchi Chen +7
Dexterous grasp datasets are vital for embodied intelligence, but mostly emphasize grasp stability, ignoring functional grasps needed for tasks like opening bottle caps or holding…
Design of an Adaptive Modular Anthropomorphic Dexterous Hand for Human-like Manipulation
Zelong Zhou, Wenrui Chen, Zeyun Hu +3
Biological synergies have emerged as a widely adopted paradigm for dexterous hand design, enabling human-like manipulation with a small number of actuators. Nonetheless, excessive…
Multi-Keypoint Affordance Representation for Functional Dexterous Grasping
Fan Yang, Dongsheng Luo, Wenrui Chen +5
Functional dexterous grasping requires precise hand-object interaction, going beyond simple gripping. Existing affordance-based methods primarily predict coarse interaction regions…
Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Dexterous Grasping
Fan Yang, Wenrui Chen, Kailun Yang +5
To enable robots to use tools, the initial step is teaching robots to employ dexterous gestures for touching specific areas precisely where tasks are performed. Affordance features…