Form of presentation | Articles in international journals and collections |
Year of publication | 2018 |
Язык | английский |
|
Zakiev Aufar Azatovich, author
Magid Evgeniy Arkadevich, author
|
|
Lavrenov Roman Olegovich, postgraduate kfu
|
|
Zakiev Aufar Azatovich, author
|
Bibliographic description in the original language |
Zakiev, A., Lavrenov, R., Magid, E., & Indelman, V. Path planning for Indoor Partially Unknown Environment Exploration and Mapping. // The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018). - 2008. - C. 399-402 |
Annotation |
The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018) |
Keywords |
Robotics, algorithm, modelling, mapping, ROS/Gazebo, indoor exploration, path planning |
The name of the journal |
The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018)
|
URL |
http://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS7/OS7-5.pdf |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=176362&p_lang=2 |
Resource files | |
|
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Zakiev Aufar Azatovich |
ru_RU |
dc.contributor.author |
Magid Evgeniy Arkadevich |
ru_RU |
dc.contributor.author |
Zakiev Aufar Azatovich |
ru_RU |
dc.contributor.author |
Lavrenov Roman Olegovich |
ru_RU |
dc.date.accessioned |
2018-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2018-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2018 |
ru_RU |
dc.identifier.citation |
Zakiev, A., Lavrenov, R., Magid, E., & Indelman, V. Path planning for Indoor Partially Unknown Environment Exploration and Mapping. // The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018). - 2008. - C. 399-402 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=176362&p_lang=2 |
ru_RU |
dc.description.abstract |
The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018) |
ru_RU |
dc.description.abstract |
This paper addresses a problem of partially unknown environment exploration and mapping. The proposed path planning algorithm provides global and local goals search taking into account limited sensing range and visibility constraints that arise from obstacles. Looking for local goals near a global path maximizes robot utility and helps avoiding returns to regions with low potential gain. All stages were tested in ROS/Gazebo simulations and results were compared with a naive algorithm that was proposed earlier. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Robotics |
ru_RU |
dc.subject |
algorithm |
ru_RU |
dc.subject |
modelling |
ru_RU |
dc.subject |
mapping |
ru_RU |
dc.subject |
ROS/Gazebo |
ru_RU |
dc.subject |
indoor exploration |
ru_RU |
dc.subject |
path planning |
ru_RU |
dc.title |
Path planning for Indoor Partially Unknown Environment Exploration and Mapping |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|