| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2019 |
| Язык | английский |
|
Аббясов Булат Ривалевич, автор
Магид Евгений Аркадьевич, автор
|
|
Симаков Никита Евгеньевич, автор
|
| Библиографическое описание на языке оригинала |
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. |
| Аннотация |
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. |
| Ключевые слова |
Robotics, Information system, Urban search and rescue, Usar,
Ros, Gazebo, Heterogeneous robotic teams |
| Название журнала |
Smart Innovation, Systems and Technologies
|
| URL |
https://link.springer.com/chapter/10.1007/978-981-13-9267-2_2 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=213255 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Аббясов Булат Ривалевич |
ru_RU |
| dc.contributor.author |
Магид Евгений Аркадьевич |
ru_RU |
| dc.contributor.author |
Симаков Никита Евгеньевич |
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/?p_id=213255 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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