{"title":"基于视觉的篮球投篮机器人的设计与实现","authors":"Chih-Yung Cheng, Yao-Jiunn Chen, Shing-Yi Lin","doi":"10.1109/ICMECH.2005.1529237","DOIUrl":null,"url":null,"abstract":"By combining technologies of computer vision [(L.G. Shapiro et al., 2001),(R. Jain et al., 1995),(S. Umbaugh, 1998),(D.A. Forsyth et al., 2003)] and control systems, we designed a vision-based basketball shooting robot. It is a wheeled mobile robot equipped with a Web camera and a shooting arm. Using its vision, mobility and special mechanism to adjust shooting angles, the robot can aim for the target and shoot the ball into the basket autonomously. In addition, we proposed a visual feedback method [(W.K. Pratt, 2001),(R.C. Gonzales et al., 2002)] which uses laser pointers to spot and then modify the shooting angles to improve shooting precision. Besides, the shooting robot is trained with artificial neural networks [S. Haykin 1999] in order to build the learning capability for both memorizing the training data and generalization.","PeriodicalId":175701,"journal":{"name":"IEEE International Conference on Mechatronics, 2005. ICM '05.","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Design and implementation of a vision-based basketball shooting robot\",\"authors\":\"Chih-Yung Cheng, Yao-Jiunn Chen, Shing-Yi Lin\",\"doi\":\"10.1109/ICMECH.2005.1529237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By combining technologies of computer vision [(L.G. Shapiro et al., 2001),(R. Jain et al., 1995),(S. Umbaugh, 1998),(D.A. Forsyth et al., 2003)] and control systems, we designed a vision-based basketball shooting robot. It is a wheeled mobile robot equipped with a Web camera and a shooting arm. Using its vision, mobility and special mechanism to adjust shooting angles, the robot can aim for the target and shoot the ball into the basket autonomously. In addition, we proposed a visual feedback method [(W.K. Pratt, 2001),(R.C. Gonzales et al., 2002)] which uses laser pointers to spot and then modify the shooting angles to improve shooting precision. Besides, the shooting robot is trained with artificial neural networks [S. Haykin 1999] in order to build the learning capability for both memorizing the training data and generalization.\",\"PeriodicalId\":175701,\"journal\":{\"name\":\"IEEE International Conference on Mechatronics, 2005. ICM '05.\",\"volume\":\"14 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Mechatronics, 2005. ICM '05.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECH.2005.1529237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Mechatronics, 2005. ICM '05.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECH.2005.1529237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
通过结合计算机视觉技术[L.G.夏皮罗等人，2001);Jain et al.， 1995);Umbaugh, 1998), (D.A.Forsyth et al.， 2003)]和控制系统，我们设计了一个基于视觉的篮球投篮机器人。它是一个轮式移动机器人，配有网络摄像头和拍摄臂。机器人利用自身的视觉、机动性和调节投篮角度的特殊机构，能够自动瞄准目标，将球射进篮筐。此外，我们还提出了一种视觉反馈方法[W.K.普拉特,2001),(司令部Gonzales et al.， 2002)]使用激光笔进行定位，然后修改射击角度以提高射击精度。此外，采用人工神经网络对射击机器人进行训练[S]。Haykin 1999]以建立记忆训练数据和泛化的学习能力。
Design and implementation of a vision-based basketball shooting robot
By combining technologies of computer vision [(L.G. Shapiro et al., 2001),(R. Jain et al., 1995),(S. Umbaugh, 1998),(D.A. Forsyth et al., 2003)] and control systems, we designed a vision-based basketball shooting robot. It is a wheeled mobile robot equipped with a Web camera and a shooting arm. Using its vision, mobility and special mechanism to adjust shooting angles, the robot can aim for the target and shoot the ball into the basket autonomously. In addition, we proposed a visual feedback method [(W.K. Pratt, 2001),(R.C. Gonzales et al., 2002)] which uses laser pointers to spot and then modify the shooting angles to improve shooting precision. Besides, the shooting robot is trained with artificial neural networks [S. Haykin 1999] in order to build the learning capability for both memorizing the training data and generalization.
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