Dongxuan Fan — accepted AI-conference papers

2025

Human-Robot Collaborative Tele-Grasping in Clutter With Five-Fingered Robotic Hands

Yayu Huang, Dongxuan Fan, Dashun Yan, Wen Qi, Guoqiang Deng, Zhihao Shao +5

RA-L 2025

Teleoperation offers the possibility of enabling robots to replace humans in operating within hazardous environments. While it provides greater adaptability to unstructured settings than full autonomy, it also imposes significant burdens on human operators, leading to operational errors. To address

Cited by 4 Source ↗Scholar ↗

2025

Refer and Grasp: Vision-Language Guided Continuous Dexterous Grasping

Yayu Huang, Dongxuan Fan, Wen Qi, Daheng Li, Yifan Yang, Yongkang Luo +3

IROS 2025

Robotic grasping guided by natural language instructions faces challenges due to ambiguities in object descriptions and the need to interpret complex spatial context. Existing visual grounding methods often rely on datasets that fail to capture these complexities, particularly when object categories

Cited by 0 Source ↗code ↗Scholar ↗