2022
DOI: 10.1080/01691864.2022.2039761
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MROS: runtime adaptation for robot control architectures

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Cited by 7 publications
(11 citation statements)
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References 27 publications
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“…The paper by Bozhinoski et al [14] concerns an earlier iteration of using MROS for runtime adaptation similar to this paper. Their work revolves around two cases, a manipulator robot with a "pick and place" task and a mobile robot navigating around obstacles on a factory floor.…”
Section: Related Workmentioning
confidence: 96%
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“…The paper by Bozhinoski et al [14] concerns an earlier iteration of using MROS for runtime adaptation similar to this paper. Their work revolves around two cases, a manipulator robot with a "pick and place" task and a mobile robot navigating around obstacles on a factory floor.…”
Section: Related Workmentioning
confidence: 96%
“…The knowledge base (KB), the analyze and plan step are implemented using MROS 7 [19], a ROS 2-based Metacontrol implementation, as the MROS Reasoner node. The KB is implemented with the Ontology Web Language (OWL) [20], the Horn rules used for the analyze step with the Semantic Web Rule Language (SWRL) [21], and the reasoning is done with Pellet 8 .…”
Section: Metacontrol Implementationmentioning
confidence: 99%
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“…A related approach for tracking the behavior of self-adaptive systems (Reynolds et al, 2020) relies on provenance graphs and a runtime model to analyze and explain the runtime behavior of a system. In the domain of robot systems, a model-based framework (Corbato et al, 2020) adapts robot control architectures at runtime. It targets ROS-based systems and uses the MAPE-K loop to trigger reconfigurations of the system.…”
Section: Related Workmentioning
confidence: 99%
“…Thus, it is advantageous to use methods and tools that enable the separation of concerns and promote reuse. This paper demonstrate how Metacontrol [6] can be applied with the MROS [3] tooling to enable self-adaptation in robotic systems.…”
Section: Introductionmentioning
confidence: 99%