Uma Sahu, Srushti Upadhyay, N. Singh, Pritam Patil
{"title":"LIBO: The grasping robot using object recognition","authors":"Uma Sahu, Srushti Upadhyay, N. Singh, Pritam Patil","doi":"10.1109/ICEEOT.2016.7755286","DOIUrl":null,"url":null,"abstract":"Due to constraints on power and cost, robots operating in unstructured environments have limits on onboard computation and limited data on the objects they encounter. Arduino and MATLAB image processing proposes a thin-client model where robot is connected to computing infrastructure for access to computing resources and datasets. The work presents system architecture and a prototype on Robotics system for recognizing and grasping objects. The prototype system incorporates a robot which is basically a 4-degree freedom robotic arm with a movable platform with a web cam mounted on the top, MATLAB for recognizing the correct barcode by image processing and generating the signal on the arduino microcontroller for `PICK' and `PLACE' action along with the use of WI-FI for wireless communication.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEOT.2016.7755286","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
Due to constraints on power and cost, robots operating in unstructured environments have limits on onboard computation and limited data on the objects they encounter. Arduino and MATLAB image processing proposes a thin-client model where robot is connected to computing infrastructure for access to computing resources and datasets. The work presents system architecture and a prototype on Robotics system for recognizing and grasping objects. The prototype system incorporates a robot which is basically a 4-degree freedom robotic arm with a movable platform with a web cam mounted on the top, MATLAB for recognizing the correct barcode by image processing and generating the signal on the arduino microcontroller for `PICK' and `PLACE' action along with the use of WI-FI for wireless communication.