| Форма представления | Тезисы и материалы конференций в зарубежных журналах и сборниках |
| Год публикации | 2018 |
| Язык | русский |
|
Закиев Ауфар Азатович, автор
Лавренов Роман Олегович, автор
Магид Евгений Аркадьевич, автор
|
| Библиографическое описание на языке оригинала |
Zakiev A., Lavrenov R., Magid E., & Indelman V. Path planning for Indoor Partially Unknown Environment Exploration and Mapping // International Conference on Artificial Life and Robotics (ICAROB 2018) (Beppu, Japan; 1-4 February 2018) - p. 399-402. |
| Аннотация |
Proceedings of the International Conference On Artificial Life And Robotics |
| Ключевые слова |
robotics, algorithm, modelling, mapping, ROS/Gazebo, indoor exploration, path planning |
| Название журнала |
Proceedings of the International Conference On Artificial Life And Robotics
|
| 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=257465 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Закиев Ауфар Азатович |
ru_RU |
| dc.contributor.author |
Лавренов Роман Олегович |
ru_RU |
| dc.contributor.author |
Магид Евгений Аркадьевич |
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 // International Conference on Artificial Life and Robotics (ICAROB 2018) (Beppu, Japan; 1-4 February 2018) - p. 399-402. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=257465 |
ru_RU |
| dc.description.abstract |
Proceedings of the International Conference On Artificial Life And Robotics |
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 |
Тезисы и материалы конференций в зарубежных журналах и сборниках |
ru_RU |
|
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