Optimizing multi-robot localization with Extended Kalman Filter feedback and collaborative laser scan matching
Localization is a critical aspect of robots and their industrial applications, with its major impact on navigation and planning. The goal of this thesis is to improve multi-robot localization by utilizing scan matching algorithms to calculate a corrected pose estimate using the robots' shared l...
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| Format: | Others |
| Language: | English |
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Mälardalens högskola, Akademin för innovation, design och teknik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48748 |