| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2018 |
| Язык | английский |
|
Закиев Ауфар Азатович, автор
Магид Евгений Аркадьевич, автор
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Лавренов Роман Олегович, автор
|
|
Закиев Ауфар Азатович, автор
|
| Библиографическое описание на языке оригинала |
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 |
| Аннотация |
The 2018 International Conference on Artificial ALife and Robotics (ICAROB 2018) |
| Ключевые слова |
Robotics, algorithm, modelling, mapping, ROS/Gazebo, indoor exploration, path planning |
| Название журнала |
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 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=176362 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Закиев Ауфар Азатович |
ru_RU |
| dc.contributor.author |
Магид Евгений Аркадьевич |
ru_RU |
| dc.contributor.author |
Закиев Ауфар Азатович |
ru_RU |
| dc.contributor.author |
Лавренов Роман Олегович |
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/?p_id=176362 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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