Form of presentation | Articles in international journals and collections |
Year of publication | 2021 |
Язык | английский |
|
Dobrokvashina Aleksandra Sergeevna, author
Lavrenov Roman Olegovich, author
Coy Tatyana Grigorevna, author
|
Bibliographic description in the original language |
Dobrokvashina A, Lavrenov R, Tsoy T, Navigation stack for the crawler robot Servosila Engineer//Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. - 2021. - Vol., Is.. - P.1907-1912. |
Annotation |
Navigation is one of the most critical problems in all areas of mobile robotics, including urban search and rescue robotics. Autonomous navigation tasks appear almost in every robotic project. A preliminary validation on a new navigation algorithm could be efficiently performed within a simulator, which allows constructing any type of an environment and simulate different operational conditions for a robot. Therefore a development of an appropriate simulated robot model and its navigation capabilities within a simulator are recently in a focus of many research teams. This article presents a number of improvements to the Gazebo simulator model of the crawler robot Servosila Engineer and a newly developed navigation stack. The navigation stack was validated with the robot's model in the Gazebo and with a real robot in a laboratory environment. |
Keywords |
crawler robot, Servosila Engineer, USAR, urban search and rescue, 3D model, navigation, Gazebo, ROS |
The name of the journal |
Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
|
URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115441448&doi=10.1109%2fICIEA51954.2021.9516393&partnerID=40&md5=6143f04d8bf2ffd3b20a7fe02ce4a471 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=258517&p_lang=2 |
Resource files | |
|
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Dobrokvashina Aleksandra Sergeevna |
ru_RU |
dc.contributor.author |
Lavrenov Roman Olegovich |
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 |
Dobrokvashina A, Lavrenov R, Tsoy T, Navigation stack for the crawler robot Servosila Engineer//Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. - 2021. - Vol., Is.. - P.1907-1912. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=258517&p_lang=2 |
ru_RU |
dc.description.abstract |
Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 |
ru_RU |
dc.description.abstract |
Navigation is one of the most critical problems in all areas of mobile robotics, including urban search and rescue robotics. Autonomous navigation tasks appear almost in every robotic project. A preliminary validation on a new navigation algorithm could be efficiently performed within a simulator, which allows constructing any type of an environment and simulate different operational conditions for a robot. Therefore a development of an appropriate simulated robot model and its navigation capabilities within a simulator are recently in a focus of many research teams. This article presents a number of improvements to the Gazebo simulator model of the crawler robot Servosila Engineer and a newly developed navigation stack. The navigation stack was validated with the robot's model in the Gazebo and with a real robot in a laboratory environment. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
crawler robot |
ru_RU |
dc.subject |
Servosila Engineer |
ru_RU |
dc.subject |
USAR |
ru_RU |
dc.subject |
urban search and rescue |
ru_RU |
dc.subject |
3D model |
ru_RU |
dc.subject |
navigation |
ru_RU |
dc.subject |
Gazebo |
ru_RU |
dc.subject |
ROS |
ru_RU |
dc.title |
Navigation stack for the crawler robot Servosila Engineer |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|