Solving Disaster-response Tasks at a Nuclear Power Plant under Realistic Conditions

Raimund Edlinger, Stefan Dumberger, Christoph Foels, Dominik Zouhar, Andreas Nüchter

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022
EditorsLuis Louro, Pedro Fonseca, Pedro Neto, Rodrigo Ventura
Place of PublicationSanta Maria da Feira
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-109
Number of pages6
ISBN (Electronic)9781665482172
ISBN (Print)978-1-6654-8217-2
DOIs
Publication statusPublished - 1 Jun 2022
Event2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022 - Santa Maria da Feira, Portugal
Duration: 29 Apr 202230 Apr 2022

Publication series

Name2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022

Conference

Conference2022 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2022
Country/TerritoryPortugal
CitySanta Maria da Feira
Period29.04.202230.04.2022

Keywords

  • Disaster Response
  • Field Robotics
  • Radiological and Nuclear (RN)
  • Robotics Competitions
  • Search and Rescue Robotics

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