@inproceedings{8257e2b288e1465cacc60c802f9e918a,
title = "Solving Disaster-response Tasks at a Nuclear Power Plant under Realistic Conditions",
abstract = "Environmental disasters usually trigger devastating damage and, in the worst case, can also cause reactor accidents in nuclear power plants, see Fukushima disaster or other detailed analysis and reports of accident's causes 1. The correct assessment of natural disasters and the resulting combination with radiological and nuclear accidents, is a major challenge for rescue teams. The conditions under which rescue and recovery operations, as well as exploration and transport tasks, take place are often challenging for emergency responders and involve a certain potential for danger. Serious incidents in the last decades have shown that rescue teams have an urgent need of robotic platforms for fast exploration and scene understanding, especially in scenarios involving radiation. This paper describes the rescue robotic systems used in a test scenario of a nuclear power plant in which the robots must handle sources with real radiation and lessons learned from various application-specific tasks at the EnRicH competition.",
keywords = "Disaster Response, Field Robotics, Radiological and Nuclear (RN), Robotics Competitions, Search and Rescue Robotics",
author = "Raimund Edlinger and Stefan Dumberger and Christoph Foels and Dominik Zouhar and Andreas N{\"u}chter",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022 ; Conference date: 29-04-2022 Through 30-04-2022",
year = "2022",
month = jun,
day = "1",
doi = "10.1109/ICARSC55462.2022.9784776",
language = "English",
isbn = "978-1-6654-8217-2",
series = "2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "104--109",
editor = "Luis Louro and Pedro Fonseca and Pedro Neto and Rodrigo Ventura",
booktitle = "2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022",
address = "United States",
}