1 citations · 1 across the 7 of their papers we have counts for
7 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…
TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object Refinement
Wanjun Jia, Kang Li, Fan Yang +7
The central challenge in robotic manipulation of deformable objects lies in aligning high-level semantic instructions with physical interaction points under complex appearance and…
Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimation
Yu Qin, Shimeng Fan, Fan Yang +5
Open-vocabulary 6D object pose estimation empowers robots to manipulate arbitrary unseen objects guided solely by natural language. However, a critical limitation of existing appro…
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…
One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
Wanjun Jia, Fan Yang, Mengfei Duan +6
Deformable object manipulation in robotics presents significant challenges due to uncertainties in component properties, diverse configurations, visual interference, and ambiguous…
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…