ROJul 8, 2021

Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios

arXiv:2107.03582v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of dangerous firefighting missions for emergency responders, though it is incremental as it applies existing robotics methods to a specific domain.

The paper tackled the design and deployment of an autonomous unmanned ground vehicle for urban firefighting, achieving the highest score among UGV solutions and winning first place in the MBZIRC 2020 challenge.

Autonomous mobile robots have the potential to solve missions that are either too complex or dangerous to be accomplished by humans. In this paper, we address the design and autonomous deployment of a ground vehicle equipped with a robotic arm for urban firefighting scenarios. We describe the hardware design and algorithm approaches for autonomous navigation, planning, fire source identification and abatement in unstructured urban scenarios. The approach employs on-board sensors for autonomous navigation and thermal camera information for source identification. A custom electro{mechanical pump is responsible to eject water for fire abatement. The proposed approach is validated through several experiments, where we show the ability to identify and abate a sample heat source in a building. The whole system was developed and deployed during the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020, for Challenge No. 3 Fire Fighting Inside a High-Rise Building and during the Grand Challenge where our approach scored the highest number of points among all UGV solutions and was instrumental to win the first place.

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