Novice Learning in Robot Soccer Calibration

Abstract

Robot soccer has been made and known for developing artificial intelligence research in this 21st Century. This study starts from a condition and routine problems in a wide scope where technologies were used to associate and test in this field. Robot soccer calibration is a case study that should be learned properly as it is the most critical part in Robot Soccer Competition. The objective of this paper is to imitate the easy and fastest learning process for a novice calibration learner to find an optimum value of calibration parameters. To ensure that the team's robots move according to the strategy, players should obtain optimal value of image calibration. Two elements affecting in producing the best calibrator player are student emotions and novice learning module. Determining the best parameter value would be time consuming. An easy method is proposed to ensure that the optimal values on robot soccer calibration could be obtained. This study determined several parameters that affect image calibration. This study was made as a guideline for further studies which will result in a method or other techniques that are useful for academic interest and for the players in the robot soccer competition. © Springer-Verlag Berlin Heidelberg 2013.