Bin Picking
Bin Picking is a robotic manipulation task in which a robot autonomously identifies, localizes, and grasps individual objects from a disordered collection contained within a bin, typically using machine vision to address challenges posed by occlusion, clutter, and variable object poses.
138
Publications
5K
Citations
471
Authors
147
Institutions
Publications per year
2017–2026
75
138
Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry
Bertram Drost, Markus Ulrich, Paul Bergmann et al. · 2017 · 159 citations
1–5 of 138
471
National Institute of Advanced Industrial Science and Technology, Japan
7 publications · 358 citations
7
h-index
6
h-index
6
h-index
National Institute of Advanced Industrial Science and Technology, Japan
6 publications · 198 citations
6
h-index
Fraunhofer Institute for Manufacturing Engineering and Automation, Germany
5 publications · 92 citations
5
h-index
1–5 of 471
147

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
9 h-index
31 publications
978 citations
The University of Osaka
Osaka, Japan
5 h-index
13 publications
388 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
11 publications
636 citations
University of Maryland, College Park
College Park, United States
5 h-index
15 publications
673 citations
Fraunhofer Institute for Manufacturing Engineering and Automation
Stuttgart, Germany
5 h-index
21 publications
434 citations
National Institute of Standards and Technology
Gaithersburg, United States
4 h-index
8 publications
165 citations

Kanazawa University
Kanazawa, Japan
4 h-index
19 publications
392 citations
Mitsubishi Electric (Japan)
Tokyo, Japan
4 h-index
12 publications
702 citations
1–8 of 147
7 publications · 255 citations
7
h-index
6 publications · 215 citations
6
h-index
TPAMI · 3 publications · 212 citations
3
h-index
3 publications · 68 citations
3
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IJRR · 3 publications · 314 citations
3
h-index
1–5