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Qiyang Yan

2 accepted papers

2025

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes

CoRL 2025oral

Dexterous grasping in cluttered scenes presents significant challenges due to diverse object geometries, occlusions, and potential collisions. Existing methods primarily focus on single-object grasping or grasp-pose prediction without interaction, which are insufficient for complex, cluttered scenes…

Cited by 0SourceScholar
2025

Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning

ICRA 2025

Dexterous in-hand manipulation (IHM) for arbitrary objects is challenging due to the rich and subtle contact process. Variable-friction manipulation is an alternative approach to dexterity, previously demonstrating robust and versatile 2D IHM capabilities with only two single-joint fingers. However,

Cited by 2SourceScholar