Multi-robot Task Scheduling
Multi-Robot Task Scheduling is a formal framework that determines the optimal allocation and temporal ordering of tasks among multiple robotic agents to achieve coordinated mission objectives while considering inter-agent dependencies, resource constraints, and system-level performance criteria.
293
Publications
11.8K
Citations
728
Authors
318
Institutions
Publications per year
2017–2026
143
Parents
293
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Georgia Institute of Technology
Atlanta, United States
14 h-index
36 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
32 publications
3K citations
University of Southern California
Los Angeles, United States
10 h-index
18 publications
668 citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
22 publications
1K citations

University of Minnesota
Minneapolis, United States
8 h-index
18 publications
607 citations
Texas A&M University
College Station, United States
7 h-index
13 publications
461 citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
11 publications
389 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
215 citations
1–8 of 318
13 publications · 854 citations
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10 publications · 455 citations
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7 publications · 493 citations
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6 publications · 473 citations
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6 publications · 423 citations
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