Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU115574" target="_blank" >RIV/00216305:26210/15:PU115574 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23923-1" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23923-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23923-1" target="_blank" >10.1007/978-3-319-23923-1</a>

Result language
angličtina
Original language name
Enhancement of Autonomous Robot Navigation via Sensor Failure Detection
Original language description
Sensor Failure Detection and Identification (FDI) is a standard meth-od in many technical applications. Presented paper describes the usage of such approach in autonomous mobile robot navigation tasks. The FDI method uses pattern matching principle basedon Markov chain theory. Such approach is ca-pable to avoid any miss-readings or sensor failures during navigation task. This method significantly improves the robustness of mobile robot navigation in crowded environment shared with people. Practical verification experiments were performed on autonomous mobile robot Advee, which is designed to safe-ly move among people.
Czech name
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Czech description
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Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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