Towards highly reliable autonomy for Urban Search and Rescue robots

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Abstract

Participating in the RoboCup Rescue Real Robot League competition for approximately 5 years, the members of Team Hector Darmstadt have always focused on robot autonomy for Urban Search and Rescue (USAR). In 2014, the team won the RoboCup RRL competition. This marked the first time a team with a strong focus on autonomy won the championship. This paper describes both the underlying research and open source developoments that made this success possible as well as ongoing work focussed on increasing rescue robot performance.

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APA

Kohlbrecher, S., Kunz, F., Koert, D., Rose, C., Manns, P., Daun, K., … Van Stryk, O. (2015). Towards highly reliable autonomy for Urban Search and Rescue robots. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 8992, pp. 118–129). Springer Verlag. https://doi.org/10.1007/978-3-319-18615-3_10

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