Real-time diagnostics for ROS running systems based on probabilistic patterns identification

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Real-time diagnostics for ROS running systems based on probabilistic patterns identification

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Real-time diagnostics for ROS running systems based on probabilistic patterns identification

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Engineering mechanics 2019. Book of full texts

ISBN

978-80-87012-71-0

ISSN

1805-8248

e-ISSN

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Počet stran výsledku

4

Strana od-do

383-386

Název nakladatele

Institute of Thermomechanics of the Czech Academy of Sciences

Místo vydání

Prague

Místo konání akce

Svratka

Datum konání akce

13. 5. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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