Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams

Evgeni Magid; Artyom Pashkin; Nikita Simakov; Bulat Abbyasov; Jackrit Suthakorn; Mikhail Svinin; Fumitoshi Matsuno

doi:10.1007/978-981-13-9267-2_2

Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams

Evgeni Magid
, Artyom Pashkin
, Nikita Simakov
, Bulat Abbyasov
, Jackrit Suthakorn
, Mikhail Svinin
, Fumitoshi Matsuno

Department of Biomedical Engineering

Kazan Federal University
Ritsumeikan University Biwako-Kusatsu Campus
Kyoto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

31 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019
Editors	Andrey Ronzhin, Vladislav Shishlakov
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	15-26
Number of pages	12
ISBN (Print)	9789811392665
DOIs	https://doi.org/10.1007/978-981-13-9267-2_2
Publication status	Published - 2020
Event	14th International Conference on Electromechanics and Robotics - Zavalishin's Readings, ER(ZR) 2019 - Kursk, Russian Federation Duration: 17 Apr 2019 → 20 Apr 2019

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	154
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	14th International Conference on Electromechanics and Robotics - Zavalishin's Readings, ER(ZR) 2019
Country/Territory	Russian Federation
City	Kursk
Period	17/04/19 → 20/04/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities
SDG 11 Sustainable Cities and Communities

Keywords

Gazebo
Heterogeneous robotic teams
Information system
Robotics
Ros
Urban search and rescue
Usar

Access to Document

10.1007/978-981-13-9267-2_2

Cite this

Magid, E., Pashkin, A., Simakov, N., Abbyasov, B., Suthakorn, J., Svinin, M., & Matsuno, F. (2020). Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams. In A. Ronzhin, & V. Shishlakov (Eds.), Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019 (pp. 15-26). (Smart Innovation, Systems and Technologies; Vol. 154). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-13-9267-2_2

Magid, Evgeni ; Pashkin, Artyom ; Simakov, Nikita et al. / Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams. Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019. editor / Andrey Ronzhin ; Vladislav Shishlakov. Springer Science and Business Media Deutschland GmbH, 2020. pp. 15-26 (Smart Innovation, Systems and Technologies).

@inproceedings{b29f3283906d4f6c99afdc73f6c3c250,

title = "Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams",

abstract = "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{\textquoteright} 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{\textquoteright}s Gazebo environment.",

keywords = "Gazebo, Heterogeneous robotic teams, Information system, Robotics, Ros, Urban search and rescue, Usar",

author = "Evgeni Magid and Artyom Pashkin and Nikita Simakov and Bulat Abbyasov and Jackrit Suthakorn and Mikhail Svinin and Fumitoshi Matsuno",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 14th International Conference on Electromechanics and Robotics - Zavalishin's Readings, ER(ZR) 2019 ; Conference date: 17-04-2019 Through 20-04-2019",

year = "2020",

doi = "10.1007/978-981-13-9267-2\_2",

language = "English",

isbn = "9789811392665",

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publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "15--26",

editor = "Andrey Ronzhin and Vladislav Shishlakov",

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Magid, E, Pashkin, A, Simakov, N, Abbyasov, B, Suthakorn, J, Svinin, M & Matsuno, F 2020, Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams. in A Ronzhin & V Shishlakov (eds), Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019. Smart Innovation, Systems and Technologies, vol. 154, Springer Science and Business Media Deutschland GmbH, pp. 15-26, 14th International Conference on Electromechanics and Robotics - Zavalishin's Readings, ER(ZR) 2019, Kursk, Russian Federation, 17/04/19. https://doi.org/10.1007/978-981-13-9267-2_2

Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams. / Magid, Evgeni; Pashkin, Artyom; Simakov, Nikita et al.
Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019. ed. / Andrey Ronzhin; Vladislav Shishlakov. Springer Science and Business Media Deutschland GmbH, 2020. p. 15-26 (Smart Innovation, Systems and Technologies; Vol. 154).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Magid, Evgeni

AU - Pashkin, Artyom

AU - Simakov, Nikita

AU - Abbyasov, Bulat

AU - Suthakorn, Jackrit

AU - Svinin, Mikhail

AU - Matsuno, Fumitoshi

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2020.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

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KW - Heterogeneous robotic teams

KW - Information system

KW - Robotics

KW - Ros

KW - Urban search and rescue

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M3 - Conference contribution

AN - SCOPUS:85072901857

SN - 9789811392665

T3 - Smart Innovation, Systems and Technologies

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BT - Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019

A2 - Ronzhin, Andrey

A2 - Shishlakov, Vladislav

PB - Springer Science and Business Media Deutschland GmbH

T2 - 14th International Conference on Electromechanics and Robotics - Zavalishin's Readings, ER(ZR) 2019

Y2 - 17 April 2019 through 20 April 2019

ER -

Magid E, Pashkin A, Simakov N, Abbyasov B, Suthakorn J, Svinin M et al. Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams. In Ronzhin A, Shishlakov V, editors, Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin’s Readings” - ERZR 2019. Springer Science and Business Media Deutschland GmbH. 2020. p. 15-26. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-13-9267-2_2

Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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