Seong Ho Yeon, Dayeon Kim, Gilhyun Ryou, Youngwoo Sim
{"title":"System design for autonomous table tennis ball collecting robot","authors":"Seong Ho Yeon, Dayeon Kim, Gilhyun Ryou, Youngwoo Sim","doi":"10.23919/ICCAS.2017.8204354","DOIUrl":null,"url":null,"abstract":"This paper presents design methodologies and an implementation of autonomous table tennis ball collecting robot. The robot is designed with three major emphases to collect balls effectively in a real table tennis court: ball detection, navigation, and ball collection. For ball detection, a combination of blob detection and cascade classifier was utilized. The robot generates an optimal path toward detected balls using A∗ graph search algorithm and follows the path based on a mecanum-wheeled platform. The detected balls are collected using a suction motor and a 2-DOF active nozzle. The integrated system successfully demonstrates the given task in a real table tennis court.","PeriodicalId":140598,"journal":{"name":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 17th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS.2017.8204354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents design methodologies and an implementation of autonomous table tennis ball collecting robot. The robot is designed with three major emphases to collect balls effectively in a real table tennis court: ball detection, navigation, and ball collection. For ball detection, a combination of blob detection and cascade classifier was utilized. The robot generates an optimal path toward detected balls using A∗ graph search algorithm and follows the path based on a mecanum-wheeled platform. The detected balls are collected using a suction motor and a 2-DOF active nozzle. The integrated system successfully demonstrates the given task in a real table tennis court.