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Self-optimizing human-robot systems for search and rescue in disaster scenarios
The increasing capabilities of robot systems enable new fields of practical applications for individual robots as well as multi-robot systems. But for some application scenarios like a fire or earthquake disaster current robots are still too limited to act fully autonomously in the disaster area. To overcome these limitations a heterogeneous team of humans and robots complementing each other is considered. Core application considered in this paper is a large burning warehouse with smoke making it difficult for fire fighters to search the building and to orientate themselves inside the warehouse. Therefore, an assisting team of robots is surrounding the fire fighters searching the proximity, providing orientation data, and establishing a wireless communication infrastructure on a basis of a mobile ad-hoc network. The adaptation of the robots is achieved by applying principles of selfoptimization on different levels of the human-robot system. In this paper, self-optimization inside an individual robot to optimize its behaviour, within a group of robots, and in the entire system comprising of robots and humans is considered. The focus of the optimization is the distribution of robots by applying swarming behaviour for forming a mobile ad-hoc communication network and performing map building.
Self-optimizing human-robot systems for search and rescue in disaster scenarios
The increasing capabilities of robot systems enable new fields of practical applications for individual robots as well as multi-robot systems. But for some application scenarios like a fire or earthquake disaster current robots are still too limited to act fully autonomously in the disaster area. To overcome these limitations a heterogeneous team of humans and robots complementing each other is considered. Core application considered in this paper is a large burning warehouse with smoke making it difficult for fire fighters to search the building and to orientate themselves inside the warehouse. Therefore, an assisting team of robots is surrounding the fire fighters searching the proximity, providing orientation data, and establishing a wireless communication infrastructure on a basis of a mobile ad-hoc network. The adaptation of the robots is achieved by applying principles of selfoptimization on different levels of the human-robot system. In this paper, self-optimization inside an individual robot to optimize its behaviour, within a group of robots, and in the entire system comprising of robots and humans is considered. The focus of the optimization is the distribution of robots by applying swarming behaviour for forming a mobile ad-hoc communication network and performing map building.
Self-optimizing human-robot systems for search and rescue in disaster scenarios
Witkowski, Ulf (author) / Herbrechtsmeier, Stefan (author) / Tanoto, Andry (author) / El-Habbal, Mohamed (author) / Alboul, Lyuba (author) / Penders, Jacques (author)
2008
15 Seiten, 4 Bilder, 11 Quellen
Conference paper
English
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