Mutualistic Interactions in Heterogeneous Multi-Agent Systems

被引:4
|
作者
Nguyen, Alexander A. [1 ]
Jabbari, Faryar [1 ]
Egerstedt, Magnus [1 ]
机构
[1] Univ Calif Irvine, Samueli Sch Engn, Irvine, CA 92697 USA
关键词
MULTIROBOT; ECOLOGY;
D O I
10.1109/CDC49753.2023.10384078
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a collaboration strategy that enables heterogeneous agents, i.e., different capabilities and dynamics, to accomplish tasks by working together. The collaboration between multiple agents is inspired by the ecological concept known as a mutualism, an interaction between two or more species that benefits everyone involved. A collaborative act is made possible through the composition of barrier functions, which allows the heterogeneous agents to work together safely. Moreover, a measure of collaborative potential is established to assess the merit of agents interacting with each other. Furthermore, the collaboration framework is provided for a general multi-agent setting. Finally, the collaboration framework's efficacy is demonstrated in two case studies that necessitate collaboration between the heterogeneous agents to complete their respective tasks.
引用
收藏
页码:411 / 418
页数:8
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