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  • 學位論文

撞球機械人在障礙球局決策之應用

Decision-Making of the Block Ball Game for a Billiard Robot

指導教授 : 楊智旭

摘要


本論文主要目的是針對撞球運動之九號球障礙球局,為使撞球機械人具有近似撞球選手在障礙球局中的解球思維與推理能力,以可拓理論建立撞球機械人的決策機制,分析出最佳擊球模式,完成解球的目的。在機器視覺系統中,先由CCD攝影機擷取球檯上的影像,收尋出各球的球心座標,並運用球檯邊與各球的幾何關係,計算出顆星撞擊點,再以所設計的VB程式,預測可能的顆星撞擊點及力道撞擊目標球後的相關位置,以母球與虛擬撞擊點的距離、目標球與球袋的距離、擊球角、障礙球位置判斷等四個決策因子,作為可拓防守決策的衡量條件,再加入撞球規則中的母球/子球是否撞擊檯邊的判斷,偵測出最佳顆星撞擊點,以程式控制撞球機械人完成解球動作。經由實驗結果得知,以可拓防守決策分析出的最佳解球路徑,確實能使對手不易進攻,達成解球亦防守的目的。

並列摘要


The objective of this thesis is to develop a defensive strategy for the billiard robot by using Extension theory. The main purpose is to make billiard robot possess the imitation ability of how people let the cue ball to contact the object ball after shooting in the block ball game of the nine-balls pool games. First, the CCD camera captures the image of the balls on the pool table. Then, the positions of the balls are calculated by the image processing technique and the developed software (VB). The hitting positions of cushion are determined by the distances between the object ball, the cue ball and the rail of the table. After that, the developed software predicts the geometrical positions of the object ball and the cue ball after collision. The defensive strategy is developed by the following four conditions. They are the distance between the cue ball and the object ball, distance between the object ball and the corresponding pocket, the angles between the cue ball, the object ball and the corresponding pocket and the information of the block ball by the Extension theory. In addition to the four parameters, it must be considered whether the cue ball or the object ball contacts the rail of the table after the cue ball contacts the object ball. Finally, the billiard robot will execute the hitting command to let the cue ball contact the object ball and make a safety play. The experimental results show that the defensive strategy of the Extension theory make the billiard robot solve the trouble problem which is not easier to contact the object ball and make a safety play to expect next better shoot chance in order to win the billiard game successfully.

並列關鍵字

Extension theory Billiard robot Cushion Safety play

參考文獻


[20] 黎哲廷,撞球機器人在九號球局之應用,淡江大學機械與機電工程學系碩士論文,民國94年6月。
[3] T. Jebara, C. Eyster, “Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers,” IEEE Wearable Computers, October 1997, Vol.13 pp. 138 – 145.
[5] H. Nakama, I. Takaesu and H. Tokashiki, “Basic Study on Development of Shooting Mechanism for Billiard Robot,” JSME, Robotic Workshop, 2001.
[14] 盧彥宏,鍾武傑,楊智旭,“灰色理論在撞球機器人球局防守決策之應用,”2005年中華民國自動控制研討會,南台科技大學,民國94年11月18日。
[15] J. T. Li, J. S. Yang and C. Y. Yang, “Offensive Strategy of a Billiard Robot,” The Eleventh International Symposium on Artificial Life and Robotics (AROB 11th ’06), January 23-25, Oita, Japan, 2006.

被引用紀錄


林育正(2012)。灰色系統理論在撞球機器人之攻守決策整合應用〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2012.00761
劉苡宗(2011)。灰色系統理論在撞球機器人之清檯攻擊研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.01016
蘇裕淵(2010)。撞球機器人之擊球決策設計〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.01008
陳宥穆(2009)。撞球機器人之跳球決策系統設計〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2009.00292
劉家孝(2008)。撞球機器人之顆星攻守決策系統設計〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2008.00981

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