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Partially unknown environment exploration algorithm for a mobile robot

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dc.contributor.author Zakiev A.
dc.contributor.author Lavrenov R.
dc.contributor.author Magid E.
dc.contributor.author Svinin M.
dc.contributor.author Matsuno F.
dc.date.accessioned 2020-01-15T22:04:10Z
dc.date.available 2020-01-15T22:04:10Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156581
dc.description.abstract © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. This paper introduces a new indoor environment exploration method, which is designed to consider robot sensory perception constraints and indoor spaces predictable structure. Our new method is compared with a greedy approach exploration. The two algorithms were implemented and tested in simulation and in real-world experiments with a Russian Servosila Engineer crawler rescue robot. Robot Operating System (ROS) framework was used both for simulations in Gazebo environment and for the real robot control. Our method demonstrated better results for large space exploration in simulations as well as within small indoor environment exploration experiments.
dc.subject Exploration algorithm
dc.subject Mapping
dc.subject Mobile robot
dc.subject Navigation
dc.subject Servosila engineer
dc.subject SLAM
dc.title Partially unknown environment exploration algorithm for a mobile robot
dc.type Article
dc.relation.ispartofseries-issue 8 Special Issue
dc.relation.ispartofseries-volume 11
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 1743
dc.source.id SCOPUS-2019-11-8-SID85073473176


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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