Grey Decision-making for a Billiard Robot

[[abstract]]Billiard is one of the most complex games to play in the real world. A player needs to visualize the situation between balls and pockets and to score the ball into the designate pocket by his/her own experience. A billiard robot is developed to imitate the behavior of human beings to play billiard. There are machine vision, decision-making, control and actuating subsystems in the experiment setup. The objective of this paper is to design a decision algorithm for a billiard robot by using grey theory. The results indicate that the decision algorithm work very well in both the simulation and experiment.[[conferencetype]]國際[[conferencedate]]20041010~20041013[[iscallforpapers]]Y[[conferencelocation]]Hague, Netherland

[[alternative]]Selection of Electro-Mechanical Lock by the Grey Theory

[[sponsorship]]中華民國灰色系統學會[[conferencetype]]國際[[conferencedate]]20071130~20071130[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]臺北市, 臺