K. Hirota, T. Tsurumaru, A. Motegi, M. Ohtani, N. Yubazaki, T. Miyajima
{"title":"一种射击不规则运动物体的连续学习神经控制系统","authors":"K. Hirota, T. Tsurumaru, A. Motegi, M. Ohtani, N. Yubazaki, T. Miyajima","doi":"10.1109/ROMAN.1993.367699","DOIUrl":null,"url":null,"abstract":"A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A successive learning neuro control system shooting irregular moving object\",\"authors\":\"K. Hirota, T. Tsurumaru, A. Motegi, M. Ohtani, N. Yubazaki, T. Miyajima\",\"doi\":\"10.1109/ROMAN.1993.367699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A successive learning neuro control system shooting irregular moving object
A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum.<>