{"title":"Robot's remote real-time navigation controlled by smart phone","authors":"Qian Wang, W. Pan, Mo Li","doi":"10.1109/ROBIO.2012.6491321","DOIUrl":null,"url":null,"abstract":"This paper realizes robot remote real-time navigation system by using smart phone. The smart phone was used for the displayer and command receiver, and the control commands and compressed video stream was transmitted on Internet between the robot and smart phone, thus a real-time video feedback was developed. According to the situation of communication, the sending frame rate of the video and robot's velocity were adjusted automatically. Furthermore an obstacles picture and shake were designed on the smart phone to warm the dangerous closeness between robot and obstacles. Therefore, the security of the robot was enhanced and the defects were overcome that limited computational power, display screen, communication bandwidth and large network delay. Proved by experiment, this robot real-time navigation system was portable, flexible, simple to use and can be used anywhere at any time.","PeriodicalId":426468,"journal":{"name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2012.6491321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper realizes robot remote real-time navigation system by using smart phone. The smart phone was used for the displayer and command receiver, and the control commands and compressed video stream was transmitted on Internet between the robot and smart phone, thus a real-time video feedback was developed. According to the situation of communication, the sending frame rate of the video and robot's velocity were adjusted automatically. Furthermore an obstacles picture and shake were designed on the smart phone to warm the dangerous closeness between robot and obstacles. Therefore, the security of the robot was enhanced and the defects were overcome that limited computational power, display screen, communication bandwidth and large network delay. Proved by experiment, this robot real-time navigation system was portable, flexible, simple to use and can be used anywhere at any time.