Human-robot Collision Avoidance
Human-Robot Collision Avoidance is a robotic safety framework that enables a robot to dynamically detect, predict, and circumvent potential physical contacts with humans in shared workspaces through real-time sensor integration and motion planning.
296
Publications
11.4K
Citations
932
Authors
312
Institutions
Publications per year
2017–2026
145
Parents
296
A depth space approach to human-robot collision avoidance
Fabrizio Flacco, Torsten Kröger, Alessandro De Luca et al. · 2012 · 419 citations
Engineering, Mechanical Engineering, Robotics Engineering +17
Sung Ho Choi, Kyeong-Beom Park, Dong Hyeon Roh et al. · Robotics and Computer-Integrated Manufacturing · 2021 · 228 citations
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312
Technical University of Munich
Munich, Germany
12 h-index
50 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
30 publications
1.4K citations
Politecnico di Milano
Milan, Italy
7 h-index
23 publications
974 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
7 h-index
24 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
6 h-index
20 publications
880 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
13 publications
594 citations
The University of Tokyo
Tokyo, Japan
6 h-index
19 publications
1.1K citations

South China University of Technology
Guangzhou, China
5 h-index
9 publications
210 citations
1–8 of 312
8 publications · 438 citations
10
h-index
10 publications · 786 citations
10
h-index
6 publications · 132 citations
6
h-index
4 publications · 85 citations
5
h-index
5 publications · 203 citations
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