Název: Real-time diagnostics for ROS running systems based on probabilistic patterns identification
Autoři: Věchet, Stanislav ; Krejsa, Jiří
Typ dokumentu: Příspěvky z konference
Konference/Akce: Engineering mechanics 2019 /25./, Svratka (CZ), 20190513
Rok: 2019
Jazyk: eng
Abstrakt: Autonomous mobile robots consists of various software modules to achieve given goal, including solving complex navigation tasks as localization, mapping or path planning. These tasks are highly dependent on the quality of data measured and gathered from hardware subsystems. Using Robot Operating System (ROS) as integration basis reduces the development effort and time to market. While ROS framework itself is considered as reliable and stable to run even soft real-time tasks, in case of any internal failures on data misreadings can be problematic to debug or even identify the problem for common user. Due to this unpleasant situations we develop a virtual assistant, internally represented as diagnostic expert system, to help users to identify and possibly fix the problem.
Klíčová slova: bayesian network; diagnostic expert system; system diagnostic
Zdrojový dokument: Engineering mechanics 2019. Book of full texts, ISBN 978-80-87012-71-0, ISSN 1805-8248

Instituce: Ústav termomechaniky AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný v příslušném ústavu Akademie věd ČR.
Původní záznam: http://hdl.handle.net/11104/0304959

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-409313


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav termomechaniky
Konferenční materiály > Příspěvky z konference