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More Knowledge on the Table:Planning with Space, Time and Resources for Robots
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

AI-based solutions for robot planning have so farfocused on very high-level abstractions of robot capabilitiesand of the environment in which they operate. However, tobe useful in a robotic context, the model provided to an AIplanner should afford both symbolic and metric constructs;its expressiveness should not hinder computational efficiency;and it should include causal, spatial, temporal and resourceaspects of the domain. We propose a planner grounded onwell-founded constraint-based calculi that adhere to theserequirements. A proof of completeness is provided, and theflexibility and portability of the approach is validated throughseveral experiments on real and simulated robot platforms.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 647-654 p.
Series
IEEE International Conference on Robotics and Automation ICRA, ISSN 1050-4729
Keyword [en]
robotics, al
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-35896DOI: 10.1109/ICRA.2014.6906923ISI: 000377221100095Scopus ID: 2-s2.0-84929193021ISBN: 978-1-4799-3685-4 (print)OAI: oai:DiVA.org:oru-35896DiVA: diva2:736764
Conference
IEEE International Conference on Robotics and Automation (ICRA, Hong Kong, May 31-Jun 07, 2014
Projects
EU-FP7 RACE (Robustness by Autonomous Competence Enhancement)
Funder
EU, FP7, Seventh Framework Programme, 287752
Available from: 2014-08-08 Created: 2014-08-08 Last updated: 2017-10-18Bibliographically approved

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Mansouri, MasoumehPecora, Federico

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CiteExportLink to record
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  • de-DE
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Output format
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