Abstract | ||
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In this paper, a novel ergodic metric is used to plan paths of multi-agent system in formation based on the ergodic theory. In order to take the full advantages of the formation of multi-agent system in expanding the detection range, obtaining complete environmental information, reducing mutual blockage between agents and performing different types of tasks, we combine leader-follower method and a... |
Year | DOI | Venue |
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2020 | 10.1109/INDIN45582.2020.9442145 | 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) |
Keywords | DocType | Volume |
Measurement,Conferences,Control systems,Path planning,Task analysis,Informatics,Multi-agent systems | Conference | 1 |
ISBN | Citations | PageRank |
978-1-7281-4964-6 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhulei Chen | 1 | 0 | 0.34 |
Li Xiao | 2 | 0 | 0.34 |
Qi Wang | 3 | 0 | 0.34 |
Zhuo Wang | 4 | 0 | 0.34 |
Zhigang Sun | 5 | 6 | 7.01 |