KFU. Card publication. Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams

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ARTIFICIAL INTELLIGENCE BASED FRAMEWORK FOR ROBOTIC SEARCH AND RESCUE OPERATIONS CONDUCTED JOINTLY BY INTERNATIONAL TEAMS

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Abbyasov Bulat Rivalevich, author

Magid Evgeniy Arkadevich, author

Authors, students KFU

Simakov Nikita Evgenevich, author

Bibliographic description in the original language

Magid E. Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams / Pashkin A., Simakov N., Abbyasov B., Suthakorn J., Svinin M. and Matsuno F. // Smart Innovation, Systems and Technologies. - 2019. - �154. - p. 15-26.

Annotation

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.

Keywords

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

The name of the journal

Smart Innovation, Systems and Technologies

URL

https://link.springer.com/chapter/10.1007/978-981-13-9267-2_2

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=213255&p_lang=2

Resource files

File name	Size (MB)	Format
F_2019_Artificial_intelligence_based_framework_for_robotic_search.pdf	0,33	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Abbyasov Bulat Rivalevich	ru_RU
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Simakov Nikita Evgenevich	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Magid E. Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams / Pashkin A., Simakov N., Abbyasov B., Suthakorn J., Svinin M. and Matsuno F. // Smart Innovation, Systems and Technologies. - 2019. - �154. - p. 15-26.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=213255&p_lang=2	ru_RU
dc.description.abstract	Smart Innovation, Systems and Technologies	ru_RU
dc.description.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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Robotics	ru_RU
dc.subject	Information system	ru_RU
dc.subject	Urban search and rescue	ru_RU
dc.subject	Usar	ru_RU
dc.subject	Ros	ru_RU
dc.subject	Gazebo	ru_RU
dc.subject	Heterogeneous robotic teams	ru_RU
dc.title	Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams	ru_RU
dc.type	Articles in international journals and collections	ru_RU