Abstract | ||
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Strong demands for developing autonomous decentralized systems have arisen as systems have been increasing in their scale and complexity. On the other hand biological systems such as human beings can be said to be the ultimate decentralized system, and are expected to provide feasible ideas in engineering fields. Immune systems work as on-line fault diagnosis systems by constructing self-nonself recognition networks. In this paper the authors try to apply this immunological self-nonself recognition networks to gait acquisition of a 6-legged walking robot as a practical example. The feasibility of the proposed method is confirmed by simulations |
Year | DOI | Venue |
---|---|---|
1994 | 10.1109/IROS.1994.407478 | Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference |
Keywords | Field | DocType |
legged locomotion,neural nets,6-legged robot,autonomous decentralized systems,biological systems,gait acquisition,human beings,immune networks,online fault diagnosis systems,self-nonself recognition networks | Decentralised system,Information processing,Gait,Computer science,Legged robot,Robot kinematics,Control engineering,Artificial neural network,Robot | Conference |
Volume | ISBN | Citations |
2 | 0-7803-1933-8 | 7 |
PageRank | References | Authors |
1.22 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Akio Ishiguro | 1 | 321 | 60.94 |
Shingo Ichikawa | 2 | 12 | 2.62 |
Yoshiki Uchikawa | 3 | 455 | 72.31 |