Name
Abstract | ||
|---|---|---|
This article studies a class of multirobot coordination problems where a team of robots aim to reach their goal regions with minimum time and avoid collisions with obstacles and other robots. A novel numerical algorithm is proposed to identify the Pareto optimal solutions where no robot can unilaterally reduce its traveling time without extending others’. The consistent approximation of the algori... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAC.2020.3025870 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Planning,Collision avoidance,Robot sensing systems,Pareto optimization,Robot motion,Heuristic algorithms | Journal | 66 |
Issue | ISSN | Citations |
9 | 0018-9286 | 1 |
PageRank | References | Authors |
0.38 | 14 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoxiang Zhao | 1 | 1 | 1.40 |
| Minghui Zhu | 2 | 44 | 12.11 |