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Learning spatial relations from functional simulation
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1170-7162
2011 (English)In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), 2011, 1513-1519 p.Conference paper, Published paper (Refereed)
Abstract [en]

Robots acting in complex environments need not only be aware of objects, but also of the relationships objects have with each other. This paper suggests a conceptualization of these relationships in terms of task-relevant functional distinctions, such as support, location control, protection and confinement. Being able to discern such relations in a scene will be important for robots in practical tasks; accordingly, it is demonstrated how predictive models can be trained using data from physics simulations. The resulting models are shown to be both highly predictive and intuitively reasonable.

Place, publisher, year, edition, pages
2011. 1513-1519 p.
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858
Keyword [en]
spatial relations, learning, simulation, robotics
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-38260DOI: 10.1109/IROS.2011.6048387ISI: 000297477501131Scopus ID: 2-s2.0-84455175346ISBN: 978-1-61284-455-8 (print)OAI: oai:DiVA.org:kth-38260DiVA: diva2:436456
Conference
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, California, September 25-30, 2011
Projects
CogX
Funder
EU, FP7, Seventh Framework Programme, ICT-215181
Note
QC 20120403Available from: 2011-08-23 Created: 2011-08-23 Last updated: 2012-04-03Bibliographically approved

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Jensfelt, Patric

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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