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Introduction
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0002-9503-0602
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0003-0217-9326
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0001-8658-2985
Corporate Research, Robert Bosch GmbH, Renningen, Germany .
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2020 (English)In: Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, Springer, 2020, p. 1-13Chapter in book (Refereed)
Abstract [en]

Change and motion are inherent features of reality. The ability to recognise patterns governing changes has allowed humans to thrive in a dynamic reality. Similarly, dynamics awareness can also improve the performance of robots. Dynamics awareness is an umbrella term covering a broad spectrum of concepts. In this chapter, we present the key aspects of dynamics awareness. We introduce two motivating examples presenting the challenges for robots operating in a dynamic environment. We discuss the benefits of using spatial models of dynamics and analyse the challenges of building such models.

Place, publisher, year, edition, pages
Springer, 2020. p. 1-13
Series
Cognitive Systems Monographs, ISSN 1867-4925 ; 40
National Category
Robotics
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URN: urn:nbn:se:oru:diva-81665DOI: 10.1007/978-3-030-41808-3_1Scopus ID: 2-s2.0-85083992773ISBN: 978-3-030-41807-6 (print)ISBN: 978-3-030-41808-3 (electronic)OAI: oai:DiVA.org:oru-81665DiVA, id: diva2:1430082
Available from: 2020-05-13 Created: 2020-05-13 Last updated: 2020-05-13Bibliographically approved

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Kucner, Tomasz PiotrLilienthal, AchimMagnusson, MartinSwaminathan, Chittaranjan Srinivas

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CiteExportLink to record
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