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Behavior generation for a mobile robot based on the adaptive fitness function

Authors :
Masakazu Yanase
Eiji Uchibe
Minoru Asada
Source :
Robotics and Autonomous Systems. 40:69-77
Publication Year :
2002
Publisher :
Elsevier BV, 2002.

Abstract

We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases, the fitness function is composed of several aspects. Simple implementation to cope with the multiple fitness functions is a weighted summation. This paper presents an adaptive fitness function for the evolutionary computation to obtain the purposive behaviors through changing the weights for the fitness function. As an example task, a basic behavior in a simplified soccer game (shooting a ball into the opponent goal) is selected to show the validity of the adaptive fitness function. Simulation results and real experiments are shown, and a discussion is given. © 2002 Elsevier Science B.V. All rights reserved.

Details

ISSN :
09218890
Volume :
40
Database :
OpenAIRE
Journal :
Robotics and Autonomous Systems
Accession number :
edsair.doi...........bf4b51d2e67d76ae64b6fc03932505c5
Full Text :
https://doi.org/10.1016/s0921-8890(02)00232-4