Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon
{"title":"利用敲击声处理和干扰观测器的反作用力进行目标识别","authors":"Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon","doi":"10.1109/ICITEED.2015.7408974","DOIUrl":null,"url":null,"abstract":"Object classification has many method such as sound signal or object compression. However, sound signal comes with a high noise level. Therefore, force response of knocking object becomes a more interesting method. In this paper, the method which combination of force response and knocking sound is proposed to improve the analysis. The master-slave robot based on bilateral control system is used to knock the objects. Then the force response is estimated by disturbance observer instead of force sensor which has a limitation. The results of the experiment can show the different of each objects clearly.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Object identification using knocking sound processing and reaction force from disturbance observer\",\"authors\":\"Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon\",\"doi\":\"10.1109/ICITEED.2015.7408974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Object classification has many method such as sound signal or object compression. However, sound signal comes with a high noise level. Therefore, force response of knocking object becomes a more interesting method. In this paper, the method which combination of force response and knocking sound is proposed to improve the analysis. The master-slave robot based on bilateral control system is used to knock the objects. Then the force response is estimated by disturbance observer instead of force sensor which has a limitation. The results of the experiment can show the different of each objects clearly.\",\"PeriodicalId\":207985,\"journal\":{\"name\":\"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2015.7408974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2015.7408974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object identification using knocking sound processing and reaction force from disturbance observer
Object classification has many method such as sound signal or object compression. However, sound signal comes with a high noise level. Therefore, force response of knocking object becomes a more interesting method. In this paper, the method which combination of force response and knocking sound is proposed to improve the analysis. The master-slave robot based on bilateral control system is used to knock the objects. Then the force response is estimated by disturbance observer instead of force sensor which has a limitation. The results of the experiment can show the different of each objects clearly.