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- W2890813422 abstract "The need for autonomous systems designed to play games, both strategy-based andphysical, comes from the quest to model human behaviour under tough andcompetitive environments that require human skill at its best. In the last two decades,and especially after the 1996 defeat of the world chess champion by a chess-playingcomputer, physical games have been receiving greater attention. Robocup TM, i.e.robotic football, is a well-known example, with the participation of thousands ofresearchers all over the world. The robots created to play snooker/pool/billiards areplaced in this context. Snooker, as well as being a game of strategy, also requiresaccurate physical manipulation skills from the player, and these two aspects qualifysnooker as a potential game for autonomous system development research. Althoughresearch into playing strategy in snooker has made considerable progress usingvarious artificial intelligence methods, the physical manipulation part of the game isnot fully addressed by the robots created so far. This thesis looks at the different ballmanipulation options snooker players use, like the shots that impart spin to the ball inorder to accurately position the balls on the table, by trying to predict the balltrajectories under the action of various dynamic phenomena, such as impacts.A 3-degree of freedom robot, which can manipulate the snooker cue on a par withhumans, at high velocities, using a servomotor, and position the snooker cue on theball accurately with the help of a stepper drive, is designed and fabricated. [Continues.]" @default.
- W2890813422 created "2018-09-27" @default.
- W2890813422 creator A5012240532 @default.
- W2890813422 date "2009-01-01" @default.
- W2890813422 modified "2023-09-23" @default.
- W2890813422 title "Trajectory solutions for a game-playing robot using nonprehensile manipulation methods and machine vision" @default.
- W2890813422 hasPublicationYear "2009" @default.
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