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JRM Vol.35 No.1 pp. 85-98
doi: 10.20965/jrm.2023.p0085
(2023)

Development Report:

Disaster Rescue via Multi-Robot Collaboration: Development, Control, and Deployment

Yutaka Watanobe, Raihan Kabir, Ryuma Aoba, Ayato Ohashi, Shunsuke Ogata, Mizuki Shiga, Kota Tsuruno, Tsuyoshi Anazawa, and Keitaro Naruse

Department of Computer Science and Engineering, The University of Aizu
Tsuruga, Ikkimachi, Aizuwakamatsu, Fukushima 965-8580, Japan

Received:
August 16, 2022
Accepted:
December 23, 2022
Published:
February 20, 2023
Keywords:
rescue robot development, robot control, tunnel disaster response, emergency disaster rescue, multi-robot collaboration
Abstract

Aging social infrastructure needs maintenance and inspection for which robot technology is highly effective. It is also effective for disaster rescue and recovery operations. Tunnel disaster rescue is risky for human workers. Robot technology can perform this work easily and accelerate rescue and recovery operations. This paper introduces a framework for the rescue robot development, control, and deployment steps. This framework also proposes automated and hybrid robot control systems in addition to conventional manual control. A multi-robot collaboration system causes the proposed control system to be convenient for deployment, reliable, and accelerate rescue work. In the development phase, controllers and different additional assistance tools for the robot have been developed in addition to the basic robot. As the proposed framework has been cultivated through our development and team collaboration training for the World Robot Summit (WRS) and the actual competition of the WRS, we will also present what we have achieved at the WRS.

The framework for robot development, control, and deployment

The framework for robot development, control, and deployment

Cite this article as:
Y. Watanobe, R. Kabir, R. Aoba, A. Ohashi, S. Ogata, M. Shiga, K. Tsuruno, T. Anazawa, and K. Naruse, “Disaster Rescue via Multi-Robot Collaboration: Development, Control, and Deployment,” J. Robot. Mechatron., Vol.35 No.1, pp. 85-98, 2023.
Data files:
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Last updated on Jun. 03, 2024