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Media type:
E-Article
Title:
An autonomous ground robot to support firefighters' interventions in indoor emergencies
Contributor:
Talavera, N. Fernández;
Roldán‐Gómez, Juan Jesús;
Martín, Francisco;
Rodriguez‐Sanchez, M. C.
Published:
Wiley, 2023
Published in:
Journal of Field Robotics, 40 (2023) 3, Seite 614-625
Language:
English
DOI:
10.1002/rob.22150
ISSN:
1556-4959;
1556-4967
Origination:
Footnote:
Description:
AbstractIntervention teams act in hostile scenarios where reducing mission times and accident risks is critical. In these situations, the availability of accurate information about the environment plays a key role in ensuring the well‐being of rescuers and victims. This information required to plan the interventions in indoor emergencies encompasses the location of fires and the presence of dangerous gases. Robotics and remote sensing technologies can help emergency teams to obtain this information in real‐time without exposing themselves. Additionally, the accurate simulation of the environments allows the teams to plan their interventions, creating routes to safely access the affected areas and evacuate the victims. This article presents a robotic solution developed to satisfy the demands of intervention teams. More specifically, it describes an autonomous ground robot that can obtain real‐time location and environmental data from indoor fires, as well as a simulator that reproduces these emergency scenarios and facilitates mission planning. In this way, emergency teams can know the conditions in the scenario before, during, and after the intervention. Thus, risks are minimized by improving their situational awareness and reducing their exposure times during the mission. The system has been developed and validated in collaboration with the end‐users and under realistic harsh environments. During these experiments, the robot was used to detect fire sources and cold smoke and provide environmental information to firefighters. Additionally, the simulator provided alternative routes for accessing and exiting the scene faster and safer by dodging potentially dangerous areas.