2015
DOI: 10.1016/j.rcim.2014.08.005
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Exploring the IEEE ontology for robotics and automation for heterogeneous agent interaction

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Cited by 20 publications
(10 citation statements)
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“…Examples of ontologies that have a role to play in robots' ability to distinguish environmental factors are IEEE ontologies Robotics and Automation, and IoT (Prestes et al, 2013;Schlenoff et al, 2012). For instance, it exploited the ontologies Robotics and Automation ontology to achieve spatial reasoning between a set of robots that needed to coordinate with one another to deliver a missing tool to a human subject (Jorge et al, 2015). Alternative studies have used the cloud to extract information from a range of multi-modal data resources, for example, natural language.…”
Section: Iort Cognitivementioning
confidence: 99%
“…Examples of ontologies that have a role to play in robots' ability to distinguish environmental factors are IEEE ontologies Robotics and Automation, and IoT (Prestes et al, 2013;Schlenoff et al, 2012). For instance, it exploited the ontologies Robotics and Automation ontology to achieve spatial reasoning between a set of robots that needed to coordinate with one another to deliver a missing tool to a human subject (Jorge et al, 2015). Alternative studies have used the cloud to extract information from a range of multi-modal data resources, for example, natural language.…”
Section: Iort Cognitivementioning
confidence: 99%
“…The main role of CORA is to maintain the consistency among the different subontologies in the standard, serving mediator of interactions among heterogeneous agents, with different sensors and different capabilities [180]. CORA covers the most general concepts, relations, and axioms of robotics and automation and serves as a reference for knowledge representation and reasoning in robotics as well as a formal reference vocabulary for communicating knowledge about robotics and automation between robots and humans [181], which has significant benefits in human-robot interaction [182].…”
Section: The Application Layermentioning
confidence: 99%
“…The paper [19] evaluates the proposed ontology through a use case scenario involving both heterogeneous robots and human-robot interactions, showing how to define new spatial notions using an ontology. It discusses experimental results, presenting the ontology strengths.…”
Section: Related Work Analysis In the Area Of Interaction Between Cpsmentioning
confidence: 99%