Title :
Grey decision-making for a billiard robot
Author :
Lin, Z.M. ; Yang, J.S. ; Yang, C.Y.
Author_Institution :
Dept. of Mech. & Electro-Mech. Eng., Tamkang Univ., Taipei, Taiwan
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.
Keywords :
decision theory; grey systems; intelligent robots; robot vision; sport; actuating subsystem; billiard robot; decision algorithm; grey decision-making; machine vision; Algorithm design and analysis; Charge coupled devices; Charge-coupled image sensors; Decision making; Game theory; Image processing; Intelligent robots; Mechanical engineering; Robot vision systems; Visualization;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1401044
