Multi-robot Scheduling
Multi-Robot Scheduling is the systematic allocation of tasks and temporal resources among multiple robotic agents within a shared environment, distinguished from other planning paradigms by its focus on optimizing task execution order, robot assignment, and timing constraints to achieve coordinated system-level objectives.
557
Publications
25K
Citations
1.4K
Authors
511
Institutions
Publications per year
2017–2026
250
557
Trajectory Planning for Quadrotor Swarms
Wolfgang Hönig, James A. Preiss, T. K. Satish Kumar et al. · IEEE Transactions on Robotics · 2018 · 311 citations
1–5 of 557
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511
Carnegie Mellon University
Pittsburgh, United States
22 h-index
67 publications
5.2K citations
Georgia Institute of Technology
Atlanta, United States
16 h-index
46 publications
1.6K citations
University of Southern California
Los Angeles, United States
16 h-index
44 publications
3.9K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
29 publications
1.9K citations
Texas A&M University
College Station, United States
13 h-index
25 publications
927 citations
Guangdong University of Technology
Guangzhou, China
11 h-index
29 publications
1K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
10 h-index
23 publications
1.1K citations

University of Minnesota
Minneapolis, United States
8 h-index
18 publications
673 citations
1–8 of 511
24 publications · 1.6K citations
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17 publications · 816 citations
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17 publications · 1.4K citations
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15 publications · 1.4K citations
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IJRR · 10 publications · 1.4K citations
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