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Introduction
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0002-9503-0602
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0003-0217-9326
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0001-8658-2985
Corporate Research, Robert Bosch GmbH, Renningen, Germany .
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2020 (engelsk)Inngår i: Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, Springer, 2020, s. 1-13Kapittel i bok, del av antologi (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2020. s. 1-13
Serie
Cognitive Systems Monographs, ISSN 1867-4925 ; 40
HSV kategori
Identifikatorer
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 (tryckt)ISBN: 978-3-030-41808-3 (digital)OAI: oai:DiVA.org:oru-81665DiVA, id: diva2:1430082
Tilgjengelig fra: 2020-05-13 Laget: 2020-05-13 Sist oppdatert: 2025-02-09bibliografisk kontrollert

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Kucner, Tomasz PiotrLilienthal, AchimMagnusson, MartinSwaminathan, Chittaranjan Srinivas

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