Transactions of the Japan Society of Mechanical Engineers Series C
Online ISSN : 1884-8354
Print ISSN : 0387-5024
A Study on Dynamically Reconfigurable Robotic System : 12th Report, A Self-organizing System Based on a Genetic Cell Production Algorithm
Yoshio KAWAUCHIMakoto INABAToshio FUKUDA
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1992 Volume 58 Issue 556 Pages 3667-3674

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Abstract

Self-organizing systems and distributed systems have recently been studied by many researchers. The authors have studied a cellular robotic system called CEBOT as a dynamically reconfigurable robotic system. CEBOT consists of many sorts of functional units, which have simple functions, knowledge, and a database. CEBOT is required to perform many given tasks in various environments by reconfiguring the structures of both hardware and software. If CEBOT does not possess a proper subsystem, called a module, in its own system, it must create a module by combining dells. In the process of the cell production, we apply the genetic algorithms (GA) to the CEBOT. We propose the algorithm called the genetic cell production algorithm, (GCPA) in this paper. We also propose a performance index based on the theory of entropy in order to estimate the performance of distributed systems. To assess the GCPA and the estimation method, we conducted on experiment using a robot manipulator contorolled by self-organizing knowledge system based on the GCPA.

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