KFU. Card publication. Collaborative robotic framework for emergency situations management in areas of flood and landslide disasters. International conference

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COLLABORATIVE ROBOTIC FRAMEWORK FOR EMERGENCY SITUATIONS MANAGEMENT IN AREAS OF FLOOD AND LANDSLIDE DISASTERS. INTERNATIONAL CONFERENCE

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2021

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Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Coy Tatyana Grigorevna, author

Bibliographic description in the original language

Magid E., Tsoy T., Matsuno F., Suthakorn J., Svinin M. Collaborative robotic framework for emergency situations management in areas of flood and landslide disasters // Proceedings of the International conference «Modern robotics problems« (Moscow, Russia; 20 April 2021)

Annotation

Modern robotics problems

Keywords

Robotics, Information System, Urban Search and Rescue, USAR, ROS, Gaze-bo, Heterogeneous Robotic Teams, Interaction Protocols, SLAM

The name of the journal

Modern robotics problems

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

https://repository.kpfu.ru/eng/?p_id=254681&p_lang=2

Resource files

File name	Size (MB)	Format
F_2021_208156208176208179208184208180.pdf	0,51	pdf	show / download
2021_208156208176208179208184208180.pdf	0,51	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Coy Tatyana Grigorevna	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Magid E., Tsoy T., Matsuno F., Suthakorn J., Svinin M. Collaborative robotic framework for emergency situations management in areas of flood and landslide disasters // Proceedings of the International conference «Modern robotics problems« (Moscow, Russia; 20 April 2021)	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=254681&p_lang=2	ru_RU
dc.description.abstract	Modern robotics problems	ru_RU
dc.description.abstract	Southeast Asia region is vulnerable to extreme precipitation that increases negative impact on human lives and infrastructure caused by hydrological natural disasters. Rapid reaction measures require search and rescue activities within a stricken area. Rescue robotics application in such hazardous environments replaces human rescuers with robots and provides humans with supplementary capabilities. Information on victim whereabouts and area map is crucial for effective rescue efforts and real-time rescue management. Therefore, a development of an information systems using an artificial intelligence is required. This paper presents an outline of an international framework that will contribute to effective actions using heterogeneous robotic teams and development of information collection system for a hazardous site rescue management. A novel approach is based on expertise in urban search and rescue robotics and previous collaborative work of roboticist teams from Japan, Thailand and Russia, the countries that constantly suffer from high precipitation level and climate change consequences. The joint research targets to provide a new framework and control strategies for international robotic teams' cooperative behavior applying interaction protocols between heterogeneous robots within a team and between robots of different teams, agreements on mapping, data fusion and other collaborative features. The robotic teams consist of various types of wheeled and crawler unmanned ground vehicles, unmanned aerial vehicles, unmanned underwater vehicles and unmanned surface vehicles. These robotic teams pro-vide the informational system with local data that are obtained by applying sensing and mapping activities from water surface, under-water, air and terrain to assemble a large collaborative map of a disaster site. The collaborative robotic framework is based on path planning and disaster area coverage algorithms, control strategies and multi-robot joint SLAM technologies for heterogeneous robot teams. For modelling and algorithms' validation Robot Operating System (ROS) and Gazebo simulator were used.	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	Gaze-bo	ru_RU
dc.subject	Heterogeneous Robotic Teams	ru_RU
dc.subject	Interaction Protocols	ru_RU
dc.subject	SLAM	ru_RU
dc.title	Collaborative robotic framework for emergency situations management in areas of flood and landslide disasters. International conference	ru_RU
dc.type	Conference proceedings in international journals and collections	ru_RU