16 citations · 22 across the 8 of their papers we have counts for
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cs.RO2025
A Multi-Level Similarity Approach for Single-View Object Grasping: Matching, Planning, and Fine-Tuning
Hao Chen, Takuya Kiyokawa, Zhengtao Hu +2
Grasping unknown objects from a single view has remained a challenging topic in robotics due to the uncertainty of partial observation. Recent advances in large-scale models have l…
cs.RO2025★ 3 cited
Adaptive Grasping of Moving Objects in Dense Clutter via Global-to-Local Detection and Static-to-Dynamic Planning
Hao Chen, Takuya Kiyokawa, Weiwei Wan +1
Robotic grasping is facing a variety of real-world uncertainties caused by non-static object states, unknown object properties, and cluttered object arrangements. The difficulty of…