Multi-robot Trajectory Planning
Multi-Robot Trajectory Planning is a computational framework within trajectory generation that coordinates the motion paths of multiple robots over time to achieve collision-free, goal-directed navigation while optimizing system-level performance criteria.
297
Publications
13.9K
Citations
830
Authors
315
Institutions
Publications per year
2017–2026
132
Parents
297
The Hybrid Reciprocal Velocity Obstacle
Jamie Snape, Jur van den Berg, Stephen J. Guy et al. · IEEE Transactions on Robotics · 2011 · 451 citations
Trajectory Planning for Quadrotor Swarms
Wolfgang Hönig, James A. Preiss, T. K. Satish Kumar et al. · IEEE Transactions on Robotics · 2018 · 311 citations
Pradipta Kumar Das, H. S. Behera, Bijaya Ketan Panigrahi · Swarm and Evolutionary Computation · 2016 · 284 citations
Engineering, Mechanical Engineering, Robotics Engineering +16
1–5 of 297
830
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315
University of Pennsylvania
Philadelphia, United States
13 h-index
45 publications
3.3K citations
Purdue University West Lafayette
West Lafayette, United States
9 h-index
21 publications
877 citations
University of Southern California
Los Angeles, United States
8 h-index
26 publications
2.3K citations

Veer Surendra Sai University of Technology
Sambalpur, India
8 h-index
20 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
7 h-index
18 publications
913 citations
Stanford University
Stanford, United States
6 h-index
15 publications
774 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
22 publications
760 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
10 publications
499 citations
1–8 of 315
12 publications · 570 citations
11
h-index
8 publications · 256 citations
8
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7 publications · 1.4K citations
7
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7 publications · 217 citations
7
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6 publications · 182 citations
6
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