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Our research into robot search teams is conducted primarily in the domain of Urban Search and Rescue (USAR), characterised by collapsed man-made structures. This terrain is often treacherous, requiring the robots to have sufficient navigational sensors in addition to their mission sensors and for rescuers wearing protective garments, and barrier materials to protect themselves while equipped with essential devices and sensors. False negative have deadly consequences for a victim who goes undetected, while false positives might actively interfere with rescuers effectively in accomplishing their…mehr

Produktbeschreibung
Our research into robot search teams is conducted primarily in the domain of Urban Search and Rescue (USAR), characterised by collapsed man-made structures. This terrain is often treacherous, requiring the robots to have sufficient navigational sensors in addition to their mission sensors and for rescuers wearing protective garments, and barrier materials to protect themselves while equipped with essential devices and sensors. False negative have deadly consequences for a victim who goes undetected, while false positives might actively interfere with rescuers effectively in accomplishing their jobs. That is why an intelligent systematic approach is urgently required to deal with uncertainties, guide the search and rescue team and make the most of their equipment.
Autorenporträt
Panteha Saeedi has received her PhD at UCL (University College London) in the Department of Computer Science, year 2010. Her four years research on ¿self organised multi agent system for search and rescue operations¿ examines the uses of autonomous robots to search for trapped victims inside pancake collapses.