Learning spatial relations from functional simulation
2011 (English)In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), 2011, 1513-1519 p.Conference paper (Refereed)
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.
, IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858
spatial relations, learning, simulation, robotics
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-38260DOI: 10.1109/IROS.2011.6048387ISI: 000297477501131ScopusID: 2-s2.0-84455175346ISBN: 978-1-61284-455-8OAI: oai:DiVA.org:kth-38260DiVA: diva2:436456
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, California, September 25-30, 2011
FunderEU, FP7, Seventh Framework Programme, ICT-215181
QC 201204032011-08-232011-08-232012-04-03Bibliographically approved