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Monitoring the state of a ubiquitous robotic system: A fuzzy logic approach
CNR, CNR, ICAR, Palermo, Italy.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
2007 (English)In: 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, 1902-1907 p.Conference paper, Published paper (Refereed)
Abstract [en]

A trend is emerging in the fields of ambient intelligence (AmI) and autonomous robotics, which points in the direction of a merger between these two fields. The inclusion of robotic devices in AmI system, sometimes named ubiquitous robotics, makes one of the hard problems in this field even harder: how can we provide a comfortable, natural interface between the everyday user and a complex system which consists of a large multitude of highly heterogeneous devices? In this paper, we address a specific, important aspect of this problem: to monitor the state of the ubiquitous system by the user of the system. The solution that we propose is based on two mechanisms: an expression-based semantics to represent in a uniform way the status of heterogeneous devices; and a common interface point to aggregate the information from all devices into a summary status presented to the user. For both mechanisms, we propose to use the tools of fuzzy logic. We justify this choice by arguments grounded in the semantics and formal properties of fuzzy logic. We also illustrate our approach on a specific type of ubiquitous robotic system called Ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology.

Place, publisher, year, edition, pages
2007. 1902-1907 p.
Series
IEEE International Conference on Fuzzy Systems, ISSN 1098-7584
Keyword [en]
ambient intelligence, ubiquitous robotics, network robot systems, human-robot interaction, cooperative systems, robot ecology
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-32334ISI: 000252371500326ISBN: 978-1-4244-1209-9 (print)OAI: oai:DiVA.org:oru-32334DiVA: diva2:705208
Conference
IEEE International Conference on Fuzzy Systems, JUL 23-26, 2007, London, ENGLAND
Available from: 2014-03-14 Created: 2013-11-12 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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Output format
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