Object Detection For Robotics
Object Detection for Robotics is a computational framework within robotic perception that enables machines to identify and locate objects in visual data by integrating detection algorithms with robotic system constraints, distinguishing it from general object detection through its focus on real-time performance, embodiment, and action-oriented accuracy requirements.
629
Publications
25.4K
Citations
2.2K
Authors
616
Institutions
Publications per year
2017–2026
323
Parents
629
A large-scale hierarchical multi-view RGB-D object dataset
Kevin Lai, Liefeng Bo, Xiaofeng Ren et al. · 2011 · 1.3K citations
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5
Bin Yan, Pan Fan, Xiaoyan Lei et al. · Remote Sensing · 2021 · 565 citations · Full text
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Italian Institute of Technology
Genoa, Italy
14 h-index
49 publications
2.8K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
40 publications
2.6K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
55 publications
11.4K citations
Technical University of Munich
Munich, Germany
10 h-index
27 publications
811 citations

University of Genoa
Genoa, Italy
9 h-index
19 publications
397 citations
Australian Centre for Robotic Vision
Brisbane, Australia
7 h-index
36 publications
2.8K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
15 publications
424 citations
Stanford University
Stanford, United States
7 h-index
29 publications
1.9K citations
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25 publications · 869 citations
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Repository · 15 publications · 554 citations
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9 publications · 453 citations
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Conference · 9 publications · 731 citations
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IJRR · 9 publications · 879 citations
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