Point Cloud Grasp Detection
Point Cloud Grasp Detection is a grasp detection framework that operates directly on three-dimensional point cloud data to identify optimal grasp poses for robotic manipulation, distinguished from image-based or voxel-based approaches by its reliance on unstructured, sparse geometric representations of object surfaces.
39
Publications
3.3K
Citations
134
Authors
46
Institutions
Publications per year
2017–2026
26
Parents
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134
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TU Wien
Vienna, Austria
3 h-index
6 publications
288 citations
Northeastern University
Boston, United States
3 h-index
11 publications
421 citations
Institute of Automation
Beijing, China
2 h-index
6 publications
110 citations
Beijing Academy of Artificial Intelligence
Beijing, China
2 h-index
6 publications
134 citations
Institut de Robòtica i Informàtica Industrial
Barcelona, Spain
2 h-index
8 publications
424 citations

University of Alicante
Alicante, Spain
2 h-index
8 publications
352 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
10 publications
210 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
1.2K citations
1–8 of 46
IJRR · 3 publications · 1K citations
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Repository · 2 publications · 59 citations
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2 publications · 106 citations
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3 publications · 73 citations
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1 publications · 36 citations
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