Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots
Nowadays the promising line of research is an application of groups of mobile robots to various tasks. An effective SLAM algorithm is one of their main success factors. Due to the increasing popularity of the open-source robots framework, ROS, the best methods should be implemented on this platform....
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| Format: | Article |
| Language: | English |
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FRUCT
2018-05-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct22/files/Kuz.pdf
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| _version_ | 1818271081280045056 |
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| author | Maxim Kuzmin |
| author_facet | Maxim Kuzmin |
| author_sort | Maxim Kuzmin |
| collection | DOAJ |
| description | Nowadays the promising line of research is an application of groups of mobile robots to various tasks. An effective SLAM algorithm is one of their main success factors. Due to the increasing popularity of the open-source robots framework, ROS, the best methods should be implemented on this platform. The development should be based on the theoretical research of the subject area. So, the paper is justified by this fact. Multi-robot SLAM methods have been classified according to their key features. Their advantages and disadvantages have been identified. The methods have also been compared according to the available experimental data. The methods most suitable for implementation have been selected. |
| first_indexed | 2024-12-12T21:20:30Z |
| format | Article |
| id | doaj.art-5107b095bda54e7baaa4e70523c3c5f4 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-12T21:20:30Z |
| publishDate | 2018-05-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-5107b095bda54e7baaa4e70523c3c5f42022-12-22T00:11:35ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-05-014262211512010.23919/FRUCT.2018.8468281Review, Classification and Comparison of the Existing SLAM Methods for Groups of RobotsMaxim Kuzmin0Saint-Petersburg Electrotechnical University "LETI", St. Petersburg, RussiaNowadays the promising line of research is an application of groups of mobile robots to various tasks. An effective SLAM algorithm is one of their main success factors. Due to the increasing popularity of the open-source robots framework, ROS, the best methods should be implemented on this platform. The development should be based on the theoretical research of the subject area. So, the paper is justified by this fact. Multi-robot SLAM methods have been classified according to their key features. Their advantages and disadvantages have been identified. The methods have also been compared according to the available experimental data. The methods most suitable for implementation have been selected.https://fruct.org/publications/fruct22/files/Kuz.pdf SLAMMulti-RobotParticle FilterEKFScan MatchingPose Graph |
| spellingShingle | Maxim Kuzmin Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots Proceedings of the XXth Conference of Open Innovations Association FRUCT SLAM Multi-Robot Particle Filter EKF Scan Matching Pose Graph |
| title | Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots |
| title_full | Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots |
| title_fullStr | Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots |
| title_full_unstemmed | Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots |
| title_short | Review, Classification and Comparison of the Existing SLAM Methods for Groups of Robots |
| title_sort | review classification and comparison of the existing slam methods for groups of robots |
| topic | SLAM Multi-Robot Particle Filter EKF Scan Matching Pose Graph |
| url | https://fruct.org/publications/fruct22/files/Kuz.pdf
|
| work_keys_str_mv | AT maximkuzmin reviewclassificationandcomparisonoftheexistingslammethodsforgroupsofrobots |