Bin Picking Perception
Bin Picking Perception is a specialized computer vision and robotic perception task that involves identifying, localizing, and segmenting individual objects within a cluttered bin environment to enable autonomous robotic grasping and manipulation in industrial automation and logistics applications.
11
Publications
415
Citations
31
Authors
12
Institutions
Publications per year
2017–2026
4
Parents
11
1–5 of 11
31
University of Maryland, College Park, United States
4 publications · 75 citations
4
h-index
4
h-index
National Institute of Standards and Technology, United States
3 publications · 65 citations
3
h-index
University of Maryland, College Park, United States
3 publications · 65 citations
3
h-index
2
h-index
1–5 of 31
12
University of Maryland, College Park
College Park, United States
4 h-index
13 publications
285 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
90 citations
National Institute of Standards and Technology
Gaithersburg, United States
3 h-index
3 publications
65 citations

Old Dominion University
Norfolk, United States
2 h-index
2 publications
25 citations
Sungkyunkwan University
Seoul, South Korea
2 h-index
6 publications
200 citations
Chuo University
Hachiōji, Japan
1 h-index
1 publications
14 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
1 h-index
3 publications
126 citations
General Motors (United States)
Detroit, United States
1 h-index
2 publications
40 citations
1–8 of 12
1 publications · 42 citations
1
h-index
1 publications · 26 citations
1
h-index
JCISE · 1 publications · 12 citations
1
h-index
1 publications · 60 citations
1
h-index
1 publications · 40 citations
1
h-index
1–5