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cs.RO2024
Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter
Chenghao Li, Nak Young Chong
Grasping a diverse range of novel objects in dense clutter poses a great challenge to robotic automation mainly due to the occlusion problem. In this work, we propose the Pyramid-M…
gr-qc2024★ 8 cited
The black hole shadow of quantum Oppenheimer-Snyder-de Sitter spacetime
Shu Luo, Cheng-Hao Li
In this study, we investigate the black hole shadow of an exact black hole solution of the loop quantum gravity (LQG) theory. We discuss some of its optical characteristics after g…
cs.RO2024
An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
Peiwen Zhou, Ziyan Gao, Chenghao Li +1
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehous…