liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Semantically Grounded Stream Reasoning Integrated with ROS
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab. Linköping University, The Institute of Technology.
2013 (English)In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE conference proceedings, 2013, p. 5935-5942Conference paper, Published paper (Refereed)
Abstract [en]

High level reasoning is becoming essential to autonomous systems such as robots. Both the information available to and the reasoning required for such autonomous systems is fundamentally incremental in nature. A stream is a flow of incrementally available  information and reasoning over streams is called stream reasoning.  Incremental reasoning over streaming information is  necessary to support a number of important robotics functionalities such as situation awareness, execution monitoring, and decision making.

This paper presents a practical framework for semantically grounded temporal stream reasoning called DyKnow.  Incremental reasoning over  streams is achieved through efficient progression of temporal logical formulas. The reasoning is semantically grounded through a common ontology and a specification of the semantic content of streams relative to the ontology.  This allows the finding of relevant streams through semantic matching. By using semantic mappings between ontologies it is also possible to do semantic matching over multiple ontologies. The complete stream reasoning framework is integrated in the Robot  Operating System (ROS) thereby extending it with a stream reasoning capability.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. p. 5935-5942
Series
IEEE International Conference on Intelligent Robots and Systems. Proceedings, ISSN 2153-0858
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-95897DOI: 10.1109/IROS.2013.6697217ISI: 000331367406001ISBN: 978-146736358-7 (print)OAI: oai:DiVA.org:liu-95897DiVA, id: diva2:639401
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 3-8, 2013 Tokyo, Japan
Projects
CADICSCENIITeLLITCUASNFFP5
Funder
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2013-08-07 Created: 2013-08-07 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

fulltext(389 kB)768 downloads
File information
File name FULLTEXT01.pdfFile size 389 kBChecksum SHA-512
92de06451495af7967257833f87746ad4232e4a676b0976fe523a56e43adb298b40f07541a1d60df37ef0646ba993a5feb68cd6201537940f974936bac683719
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Heintz, Fredrik

Search in DiVA

By author/editor
Heintz, Fredrik
By organisation
KPLAB - Knowledge Processing LabThe Institute of Technology
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 768 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 310 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf