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Uncertainty and Fuzzy Modeling in Human-Robot Navigation
Örebro University, School of Science and Technology. (AASS MRO Lab)
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0003-0217-9326
2019 (English)In: Proceedings of the 11th International Joint Conference on Computational Intelligence: Volume 1 (FCTA), SciTePress, 2019, p. 296-305Conference paper, Published paper (Refereed)
Abstract [en]

The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the crossings of the trajectories of humans and robots. We discuss the intersection calculation and its fuzzy version in the context of human-robot navigation with respect to noise information. Based on known parameters of the Gaussian input distributions at the orientations of human and robot the parameters of the output distributions at the intersection are to be found by analytical and fuzzy calculation. Furthermore the inverse task is discussed where the parameters of the output distributions are given and the parameters of the input distributions are searched. For larger standard deviations of the orientation signals we suggest mixed Gaussian models as approximation of nonlinear distributions.

Place, publisher, year, edition, pages
SciTePress, 2019. p. 296-305
Keywords [en]
Human-robot Interaction, Navigation, Fuzzy Modeling, Gaussian Noise
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-79741DOI: 10.5220/0008344902960305ISBN: 978-989-758-384-1 (print)OAI: oai:DiVA.org:oru-79741DiVA, id: diva2:1391189
Conference
11th International Joint Conference on Computational Intelligence - Volume 1 (FCTA), Vienna, Austria, September 17 - 19, 2019
Funder
Knowledge Foundation, 20140220Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-06Bibliographically approved

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