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Quantitative Metrics for Execution-Based Evaluation of Human-Aware Global Motion Planning
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0002-9545-9871
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0002-9503-0602
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0001-8658-2985
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0003-0217-9326
2020 (English)In: HRI 2020 Workshop on Test Methods and Metrics for Effective HRI in Real World Human-Robot Teams, 2020Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
2020.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-89145OAI: oai:DiVA.org:oru-89145DiVA, id: diva2:1524187
Conference
HRI 2020 Workshop on Test Methods and Metrics for Effective HRI in Real World Human-Robot Teams, Cambridge, UK, April 3, 2020.
Projects
ILIAD
Funder
EU, Horizon 2020, 732737Available from: 2021-01-31 Created: 2021-01-31 Last updated: 2021-02-02Bibliographically approved

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Quantitative Metrics for Execution-Based Evaluationof Human-Aware Global Motion Planning

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Swaminathan, Chittaranjan SrinivasKucner, Tomasz PiotrMagnusson, MartinLilienthal, Achim J.

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Swaminathan, Chittaranjan SrinivasKucner, Tomasz PiotrMagnusson, MartinLilienthal, Achim J.
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