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Leveraging user activities and mobile robots for semantic mapping and user localization

Abstract:

This work proposes a probabilistic framework for combining high level information such as user activities, from a human user wearing a smart watch, and probabilistic information such as room connectivity from an assistive mobile robot for semantic mapping and user room level localization in domestic environments. The main idea is to leverage the semantic information provided by the user activities and the accurate metric map created by an assistive robot. The conceptual information is modeled...

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

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Publisher copy:
10.1145/3029798.3038343

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Department:
Oxford, MPLS, Computer Science
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Department:
Oxford, Colleges and Halls, Keble College
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Department:
Oxford, MPLS, Computer Science
Publisher:
Association for Computing Machinery Publisher's website
Publication date:
2017-03-06
Acceptance date:
2017-01-03
DOI:
ISSN:
2167-2148
Pubs id:
pubs:685232
URN:
uri:71d3f0d2-036e-4a54-af5a-75161dc0d940
UUID:
uuid:71d3f0d2-036e-4a54-af5a-75161dc0d940
Local pid:
pubs:685232
ISBN:
9781450348850

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