Behavior selection system for robot using neural network

Abstract

With the progress of technology, the realization of a symbiotic society with human beings and robots sharing the same environment has become an important subject. An example of this kind of systems is soccer game. Soccer is a multi-agent game that requires strategies by taking into account each member's position and actions. In this paper, we discuss the results of the development of a learning system that uses SOM to select behaviors depending on the situation.