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Gaussian Noise and the Intersection Problem in Human-Robot Systems: Analytical and Fuzzy Approach
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: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2019, p. 1-6, article id 8858796Conference paper, Published paper (Refereed)
Abstract [en]

In this paper the intersection problem in humanrobot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.

Place, publisher, year, edition, pages
IEEE, 2019. p. 1-6, article id 8858796
Keywords [en]
Humn Robot Interaction, Human Motion Prediction, Collision Avoidance
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-79734DOI: 10.1109/FUZZ-IEEE.2019.8858796ISBN: 978-1-5386-1729-8 (electronic)OAI: oai:DiVA.org:oru-79734DiVA, id: diva2:1391173
Conference
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans, USA, June 23 - 26, 2019
Projects
ILIAD
Funder
Knowledge Foundation, 20140220Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-14Bibliographically approved

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Gaussian noise and the intersection problem in Human-Robot Systems: Analytical and fuzzy approach(1552 kB)519 downloads
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Palm, RainerLilienthal, Achim J.

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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