首页|Study Results from University of Detroit Mercy Provide New Insights into Robotic s (A Lora-based Disaster Management System for Search and Rescue Mission)
Study Results from University of Detroit Mercy Provide New Insights into Robotic s (A Lora-based Disaster Management System for Search and Rescue Mission)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Detroit, Michigan, by NewsRx journalists, research stated, "To avoid risking the lives ofvictims and rescue team personnel in the event of disasters like earthquakes, volcanic erup tions, hurricanes,etc., search and rescue (SAR) robots are increasingly incorpo rated into the operation. One ofthe major challenges in integrating SAR robots into rescue operations is the potentially severely damagedinfrastructure within the disaster site."The news reporters obtained a quote from the research from the University of Det roit Mercy, "Acritical component of this is a functional communication system w hich is essential for exchanging realtimeinformation between the robots in the field and the base station (BS). Given that there might beeither limited cover age or a complete failure of standard communication systems in a severely affect eddisaster site, a novel disaster management system named Titan disaster manage ment system (DMS),which is based on low-power wide-area networks (LPWANs) LoRa technology is proposed. Its developmentconsists of three solutions, which are T itan coordination, communication, and navigation solutions. TheTitan coordinati on solution based on a robot platoon configuration has been developed to assist the rescueteam in establishing a BS within the disaster-affected area. The vict ims, the BS, and the SAR robots mayall communicate with one another using the T itan communication system. For guiding the SAR robotthrough the devastated disa ster scene, the Titan navigation solution named fuzzy inference system vectorfi eld histogram (FISVFH) was developed."
DetroitMichiganUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsUniversity of Detroit Mercy
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