Application of analogical reasoning to pursuit of targets in robotics

Author

Cauvin, A. ; Thevenet, P. ; Brun-Picard, D.

Author_Institution

Lab. d´´Autom. et d´´Inf. de Marseille, France

fYear

1992

fDate

19-21 Aug 1992

Firstpage

17

Lastpage

22

Abstract

The authors suggest a new approach of target tracking by a robot. Robot joints are independently controlled. This research improves other research carried on decentralized control of automated systems in the Laboratory of Automatics and Computer Science of Marseille (LAIM) (Brun-Picard (1988), Carmona (1990). Previous research showed the feasibility of the decentralization of control algorithms. The authors propose to decentralize intelligence to improve the decentralized unit autonomy. The solution consists in associating an agent with a robot joint. Each agent is considered as an intelligent agent and is able to take account of previous trial experience. The authors show the feasibility of the implementation of learning in control systems. The learning process will improve the control system efficiency

Keywords

decentralised control; learning systems; robots; tracking; analogical reasoning; control system efficiency; decentralize intelligence; decentralized control learning systems; decentralized unit autonomy; independently controlled robot joints; intelligent agent; learning by analogy; robotics; target tracking;

fLanguage

English

Publisher

iet

Conference_Titel

Intelligent Systems Engineering, 1992., First International Conference on (Conf. Publ. No. 360)

Conference_Location

Edinburgh

Print_ISBN

0-85296-549-4

Type

conf

Filename

171911