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Partial order temporal plan merging for mobile robot tasks

Abstract:

For many mobile service robot applications, planning problems are based on deciding how and when to navigate to certain locations and execute certain tasks. Typically, many of these tasks are independent from one another, and the main objective is to obtain plans that efficiently take into account where these tasks can be executed and when execution is allowed. In this paper, we present an approach, based on merging of partial order plans with durative actions, that can quickly and effectivel...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3233/978-1-61499-672-9-1537

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0002-7556-6098
Publisher:
IOS Press
Host title:
Frontiers in Artificial Intelligence and Applications
Journal:
Frontiers in Artificial Intelligence and Applications More from this journal
Volume:
285
Issue:
ECAI 2016
Pages:
1537 - 1545
Publication date:
2016-01-01
DOI:
ISSN:
0922-6389
ISBN:
9781614996712
Pubs id:
pubs:820012
UUID:
uuid:8b97d643-e8e3-4b95-9580-16dd9c02205e
Local pid:
pubs:820012
Source identifiers:
820012
Deposit date:
2018-01-25

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