Original title: Real-time diagnostics for ROS running systems based on probabilistic patterns identification
Authors: Věchet, Stanislav ; Krejsa, Jiří
Document type: Papers
Conference/Event: Engineering mechanics 2019 /25./, Svratka (CZ), 20190513
Year: 2019
Language: eng
Abstract: 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.
Keywords: bayesian network; diagnostic expert system; system diagnostic
Host item entry: Engineering mechanics 2019. Book of full texts, ISBN 978-80-87012-71-0, ISSN 1805-8248

Institution: Institute of Thermomechanics AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0304959

Permalink: http://www.nusl.cz/ntk/nusl-409313


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Research > Institutes ASCR > Institute of Thermomechanics
Conference materials > Papers