Real-time diagnostics for ROS running systems based on probabilistic patterns identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F19%3A00508667" target="_blank" >RIV/61388998:_____/19:00508667 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Real-time diagnostics for ROS running systems based on probabilistic patterns identification
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering mechanics 2019. Book of full texts
ISBN
978-80-87012-71-0
ISSN
1805-8248
e-ISSN
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Number of pages
4
Pages from-to
383-386
Publisher name
Institute of Thermomechanics of the Czech Academy of Sciences
Place of publication
Prague
Event location
Svratka
Event date
May 13, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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