60 citations · 64 across the 25 of their papers we have counts for
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cs.RO2022★ 3 cited
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ning Gao, Jingyu Zhang, Ruijie Chen +3
Grasping inhomogeneous objects in real-world applications remains a challenging task due to the unknown physical properties such as mass distribution and coefficient of friction. I…
cs.RO2022
Hierarchical Policy Learning for Mechanical Search
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Retrieving objects from clutters is a complex task, which requires multiple interactions with the environment until the target object can be extracted. These interactions involve e…