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ShapeStacks: Learning vision-based physical intuition for generalised object stacking

Abstract:

Physical intuition is pivotal for intelligent agents to perform complex tasks. In this paper we investigate the passive acquisition of an intuitive understanding of physical principles as well as the active utilisation of this intuition in the context of generalised object stacking. To this end, we provide ShapeStacks (Source code & data are available at http://shapestacks.robots.ox.ac.uk): a simulation-based dataset featuring 20,000 stack configurations composed of a variety of elementar...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/978-3-030-01246-5_43

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
New College
Engineering and Physical Sciences Research Council More from this funder
Publisher:
Springer Publisher's website
Publication date:
2018-10-06
Acceptance date:
2018-07-03
DOI:
ISSN:
0302-9743 and 1611-3349
Pubs id:
pubs:940495
URN:
uri:360fc5b8-232f-4806-b45c-40e75ecdf3d5
UUID:
uuid:360fc5b8-232f-4806-b45c-40e75ecdf3d5
Local pid:
pubs:940495
ISBN:
9783030012458

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