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Towards an ontology to capture human attributes in human-robot collaboration

Stephanie Hall, Mandeep Dhanda, Vimal Dhokia

发表年份
2024
引用次数
3
访问权限
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摘要

Abstract A core predicate of Industry 5.0 (I5.0) is the integration of human, environmental and social factors with new technologies. The integration of collaborative robots offers increased productivity but raises questions on safety and how robots can respond to varying cognitive and physical attributes. This paper discusses the significance of structured ontologies in managing complex information for proactive, safe, and productive human-robot collaboration. The paper highlights the future work to be undertaken to ensure the safe and fluid integration of humans and robots within I5.0.

关键词

OntologyHuman–robot interactionHuman–computer interactionComputer scienceRobotKnowledge managementData scienceWorld Wide WebArtificial intelligenceEpistemology

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