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Intention Recognition and Communication for Human-Robot Collaboration
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-9607-9504
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-1470-6288
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0001-6381-2346
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0003-3788-499X
2024 (English)In: CEUR Workshop Proceedings / [ed] Ericson P., Khairova N., De Vos M., CEUR-WS , 2024, Vol. 3825, p. 101-108Conference paper, Published paper (Refereed)
Abstract [en]

Human-robot collaboration follows rigid processes, in order to ensure safe interactions. In case of deviations from predetermined tasks, typically, processes come to a halt. This position paper proposes a conceptual framework for intention recognition and communication, enabling a higher granularity of understanding of intentions to facilitate more efficient and safe human-robot collaboration, especially in events of deviations from expected behaviour.

Place, publisher, year, edition, pages
CEUR-WS , 2024. Vol. 3825, p. 101-108
Keywords [en]
human-robot collaboration, human-robot communication, intention granularity, Intention recognition, Social robots, Conceptual frameworks, High granularity, Position papers, Microrobots
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-118435Scopus ID: 2-s2.0-85210319239OAI: oai:DiVA.org:oru-118435DiVA, id: diva2:1927323
Conference
3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2024, Malmo 10-11 June 2024
Available from: 2025-01-14 Created: 2025-01-14 Last updated: 2025-01-14Bibliographically approved

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Banaee, HadiKlügl, FranziskaNovakazi, FjollëLowry, Stephanie

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CiteExportLink to record
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Citation style
  • apa
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