3 papers
cs.RO2026
Generalizable task-oriented object grasping through LLM-guided ontology and similarity-based planning
Hao Chen, Takuya Kiyokawa, Weiwei Wan +1
Task-oriented grasping (TOG) is more challenging than simple object grasping because it requires precise identification of object parts and careful selection of grasping areas to e…
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
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…