{"title":"The robot for recycling based on machine learning","authors":"Yu-Ping Liao, Ruei-Chang Lu, Sheng-Ying Wu, Ping-En Cheng, Guo-Cheng Xu","doi":"10.1109/CACS.2018.8606758","DOIUrl":null,"url":null,"abstract":"After a large-scale events, trash (e.g., bottles and cans) often accumulates at the event venue. Manually cleaning this trash can be labor and time intensive. To aid environmental protection and reduced pollution, we designed a robot to categorize items for recycling. It automatically identifies objects and their locations on the basis of the depth image, grabs them with its mechanical arm, and finally, places them in the corresponding recycling bin. The robot is based on depth imaging technology with a deep learning algorithm for recognition and categorization.","PeriodicalId":282633,"journal":{"name":"2018 International Automatic Control Conference (CACS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Automatic Control Conference (CACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACS.2018.8606758","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
After a large-scale events, trash (e.g., bottles and cans) often accumulates at the event venue. Manually cleaning this trash can be labor and time intensive. To aid environmental protection and reduced pollution, we designed a robot to categorize items for recycling. It automatically identifies objects and their locations on the basis of the depth image, grabs them with its mechanical arm, and finally, places them in the corresponding recycling bin. The robot is based on depth imaging technology with a deep learning algorithm for recognition and categorization.