Title :
Synchronized multi-point attack by autonomous reactive vehicles with simple local communication
Author :
Lua, Chin A. ; Altenburg, Karl ; Nygard, Kendall E.
Author_Institution :
Dept. of Comput. Sci. & Operations Res., North Dakota State Univ., Fargo, ND, USA
Abstract :
We present a model consisting of a swarm of unmanned, autonomous flying munitions to conduct a synchronized multi-point attack on a target. The unpiloted air vehicles (UAV) lack global communication or extensive battlefield intelligence, instead, relying on passive short-range sensors and simple, inter-agent communication. The multi-point synchronized attack is successfully demonstrated in a simulated battlefield environment. The simulation results indicate that the reactive, synchronized, multi-point attack is effective, robust and scalable. It is especially well suited for numerous, small, inexpensive, and expendable UAV.
Keywords :
aerospace simulation; evolutionary computation; military computing; multi-agent systems; remotely operated vehicles; search problems; UAV; autonomous reactive vehicles; inter-agent communication; passive short-range sensors; simple local communication; simulated battlefield environment; swarm; synchronized multi-point attack; unmanned autonomous flying munitions; unpiloted air vehicles; Communication system control; Global communication; Intelligent sensors; Intelligent vehicles; Mobile robots; Remotely operated vehicles; Robot sensing systems; Synchronization; Unmanned aerial vehicles; Weapons;
Conference_Titel :
Swarm Intelligence Symposium, 2003. SIS '03. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7914-4
DOI :
10.1109/SIS.2003.1202253