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
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;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.973233
