Training goal keeper robot using emotion and history based learning method

Our research work focuses on an approach towards training robot behavior for the role of a Goalkeeper. We used history-based learning where the successfulness during different emotional states is maintained in the local history and it is continuously updated in the global history. The decision making process of our goalkeeper will vary according to select emotional factors affecting the goalkeeper. The training for the learning is done by conducting full time practice matches. The performance of the robot increase since continuous learning process is adopted.