Multi-robot Task Planning
Multi-Robot Task Planning is a computational framework that systematically allocates and sequences tasks among multiple robots while accounting for inter-robot dependencies, resource constraints, and environmental dynamics to achieve coordinated mission objectives.
199
Publications
8.2K
Citations
564
Authors
214
Institutions
Publications per year
2017–2026
114
199
1–5 of 199
564
Laboratoire d'Analyse et d'Architecture des Systèmes, France
10 publications · 548 citations
10
h-index
5
h-index
4
h-index
4
h-index
Laboratoire d'Analyse et d'Architecture des Systèmes, France
4 publications · 186 citations
4
h-index
1–5 of 564
214
Carnegie Mellon University
Pittsburgh, United States
12 h-index
35 publications
2K citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
8 h-index
25 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
18 publications
1.2K citations
University of Southern California
Los Angeles, United States
7 h-index
18 publications
536 citations
The University of Tokyo
Tokyo, Japan
5 h-index
15 publications
1K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
17 publications
518 citations
Robotics Research (United States)
Cincinnati, United States
4 h-index
10 publications
1.1K citations
University of Michigan
Ann Arbor, United States
4 h-index
12 publications
809 citations
1–8 of 214
6 publications · 277 citations
8
h-index
IJRR · 6 publications · 648 citations
6
h-index
5 publications · 223 citations
5
h-index
4 publications · 171 citations
5
h-index
4 publications · 67 citations
4
h-index
1–5