Engineering Goalkeeper Behavior Using an Emotion Learning Method

Abstract

. This paper reports an approach toward engineering an evolving robot behavior for a role of a goalkeeper. In the course of our study of the problem, we developed a hand coded controller as well. The method of learning we used is emotion based self-reinforcement learning. The training of the learning robot is made by a non-didactic trainer which performs random shooting. We present also a typical learning curve as result from a training experiment. Introduction The new AI challenge, set up by the RoboCup initiators, in next 50 years to develop a football team that will beat a human football team, induced many research efforts to converge toward building robots capable of playing football (soccer). Various issues emerged that will be a challenge for the next years, and they are covered in contemporary reports on the subject (e.g. Asada et al., 1999a). One of the issues is learning to play football. Close to that issue is the issue which we call the issue of of football training, wh...