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Title: Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams
Authors: Evgeni Magid
Artyom Pashkin
Nikita Simakov
Bulat Abbyasov
Jackrit Suthakorn
Mikhail Svinin
Fumitoshi Matsuno
Ritsumeikan University, Biwako-Kusatsu
Kazan Federal University
Mahidol University
Kyoto University
Keywords: Computer Science;Decision Sciences
Issue Date: 1-Jan-2020
Citation: Smart Innovation, Systems and Technologies. Vol.154, (2020), 15-26
Abstract: © Springer Nature Singapore Pte Ltd 2020. Many countries suffer from various natural disasters, including heavy rains, that are associated with further flood and landslide disasters. Based on our experiences of different disasters response, we develop a joint international operation framework for a disaster site management with distributed heterogeneous robotic teams that consist of unmanned aerial, ground, surface, and underwater vehicles. The artificial intelligence-based information collection system, which is targeting to become a worldwide standard, contains interaction protocols, thematic mapping approaches, and map fusion processes. The project provides a new working framework and control strategies for heterogeneous robotic teams’ cooperative behavior in sensing, monitoring, and mapping of flood and landslide disaster areas. In this paper, we present an overview of the system and a first stage toward robot interaction protocols development and the system modeling within robot operating system’s Gazebo environment.
ISSN: 21903026
Appears in Collections:Scopus 2020

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