DocumentCode
2046179
Title
Complexity science for the design of swarm robot control systems
Author
Johnson, Jeffery ; Sugisaka, Masanori
Author_Institution
Dept. of Design & Innovation, Open Univ., Milton Keynes, UK
Volume
1
fYear
2000
fDate
2000
Firstpage
695
Abstract
Swarm robots and their neighbourhood structures are defined and illustrated. The robots interact through these neighbourhood structures. Elements of complexity science can be used in the design and control of swarm robot systems. These include the emergent behaviour from the local interaction of agents, chaotic dynamics, relational structures for representation, learning and co-evolution, and simulation science. The concepts are presented using an example of football playing robots
Keywords
computational complexity; evolutionary computation; graph theory; interactive systems; learning (artificial intelligence); multi-agent systems; multi-robot systems; chaotic dynamics; coevolution; complexity science; emergent behaviour; hypergraph; learning; neighbourhood structures; relational structure; robot football games; simulation; swarm robots; Chaos; Computational modeling; Computer simulation; Control systems; Mobile robots; Motion control; Robot control; Robotics and automation; Shape; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location
Nagoya
Print_ISBN
0-7803-6456-2
Type
conf
DOI
10.1109/IECON.2000.973233
Filename
973233
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