Author:
Tian Z Y,Su B,Song W L,Fu R,Lu P Y,Li J Y,Bai C Q,Xiang S,Gao T Y
Abstract
Abstract
The main contents of this dissertation are the application of swarm intelligence to multi-unmanned vehicle system and the realization of cooperative control of multi-unmanned vehicle system. Firstly, this thesis introduces the research background and significance of multi-unmanned vehicle system and swarm intelligence. Secondly, we introduce the research contents of cooperative control of multi-unmanned vehicle system. Then the research status of cooperative control of multi-unmanned vehicle system in the domestic and overseas are introduced. Finally, this dissertation summarizes the mainstream types of architecture and algorithm of the multi-unmanned vehicle system.
Subject
General Physics and Astronomy
Reference10 articles.
1. Adaptive output control of a mobile manipulator hanging from a quadcopter unmanned vehicle[J];Ballesteros Escamilla,2019
2. Information Distributed Kalman Filter Applied to Rendezvous Problems in Cooperative Robotic Teams [J];Salem;IFAC Papers Online,2018
3. Haptic assisted aircraft optimal assembly path planning scheme based on swarming and artificial potential field approach[J];Hassan;Advances in Engineering Software,2014
4. Swarm debugging: The collective intelligence on interactive debugging[J];Petrillo;The Journal of Systems & Software,2019
5. Structure Decision Method for Self Organizing Robots based on Cell Structures-CEBOT [C];Fukuda,1989
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Research on multi-vehicle formation control based on improved artificial potential field method;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-24