Design and implementation of machine vision for board game in lumen social robot system

Abstract

Machine vision on Humanoid robot Nao, is homology with eye. The success of machine vision is heavily determined by interpretation process to get information of environment and object. This information will be used for decision making of robot action. On this research, machine vision will be applied for tictac- toe board game. This research will become stepping stone for machine vision method for robotic control. On this design and implementation, image interpretation, along with data communication and geometrical analysis will be processed to estimate position accurately and precisely. Furthermore, information is extracted from an image that made robot to recognize and interact with board game pawns. Decision making application will process information to give decision about game action of Nao Robot. The decision will be executed by robot’s arm actuator. The system runs well during the testing when battling with human player.