L. Srivathsan, P. Velmurugan, K. Sivashankar, M. Chandru
{"title":"“Fuzzy based automated mobile controlled rescue robot”","authors":"L. Srivathsan, P. Velmurugan, K. Sivashankar, M. Chandru","doi":"10.1109/ICCIC.2012.6510260","DOIUrl":null,"url":null,"abstract":"Of late natural and man made calamities became unmanageable. Notwithstanding the fact that Government takes all steps to protect and reduce the impact of calamity, Right from the ancient times only humans are being used for these rescue operations. However, over the past decade or so, the autonomous systems role has changed — the emergence of smart munitions and precision aerial bombardment has resulted in the human entering tough urban combat situations to mop up any remains of calamities. Our system is the first of several such programs that are looking at revamping the rescuers gear. Our system basically has two modes. One mode is the automatic mode and the other mode is user control mode. The automatic mode makes the robot to detect the obstacles and move without any human intervention using Fuzzy Logic. In certain unavoidable circumstances the control comes to user who can control the operations of the robot from remote location using a mobile phone. The user can control the robot by seeing the video through 3G technology. It also helps to provide medical aid for needy. Our system can also be used to detect and defuse the fire, human life detection during earth quakes. Thus our aim is to provide a robotic system that can act as a savior during natural and man made calamities.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2012.6510260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Of late natural and man made calamities became unmanageable. Notwithstanding the fact that Government takes all steps to protect and reduce the impact of calamity, Right from the ancient times only humans are being used for these rescue operations. However, over the past decade or so, the autonomous systems role has changed — the emergence of smart munitions and precision aerial bombardment has resulted in the human entering tough urban combat situations to mop up any remains of calamities. Our system is the first of several such programs that are looking at revamping the rescuers gear. Our system basically has two modes. One mode is the automatic mode and the other mode is user control mode. The automatic mode makes the robot to detect the obstacles and move without any human intervention using Fuzzy Logic. In certain unavoidable circumstances the control comes to user who can control the operations of the robot from remote location using a mobile phone. The user can control the robot by seeing the video through 3G technology. It also helps to provide medical aid for needy. Our system can also be used to detect and defuse the fire, human life detection during earth quakes. Thus our aim is to provide a robotic system that can act as a savior during natural and man made calamities.