Grey Decision-making for a Billiard Robot

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Title:	Grey Decision-making for a Billiard Robot
Authors:	Lin, Z.M.;Yang, J.S.;Yang, C.Y.
Contributors:	淡江大學機械與機電工程學系
Date:	2004-10
Issue Date:	2011-10-23 21:47:08 (UTC+8)
Publisher:	Institute of electrical and electronics engineers (IEEE)
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.
Relation:	Systems, Man and Cybernetics, 2004 IEEE International Conference on, v.6, pp.5350-5355
DOI:	10.1109/ICSMC.2004.1401044
Appears in Collections:	[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Proceeding

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