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Domain Reasoning for Robot Task Planning: A Position Paper
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
Örebro University, School of Science and Technology.ORCID iD: 0000-0001-8229-1363
2018 (English)In: PlanRob 2018: Proceedings of the 6th Workshop on Planning and Robotics / [ed] Alberto Finzi, Erez Karpas, Goldie Nejat, AndreA Orlandini, Siddharth Srivastava, ICAPS , 2018, p. 102-105Conference paper, Published paper (Refereed)
Abstract [en]

In this position paper we argue for moving towards generalpurpose domains to promote the usage of task planning forreal-world robot systems. Planning approaches should extractconcrete domains based on their current context in order tosolve problems. Towards this aim, we define the problem ofdomain reasoning, by which a planning domain is obtainedfrom a more general, multi-purpose domain definition, giventhe current deployment and context of the robot system. Weprovide examples motivating the need for domain reasoningin robot task planning, as well as a discussion of potentialsolutions to the domain reasoning problem.

Place, publisher, year, edition, pages
ICAPS , 2018. p. 102-105
Keywords [en]
Automated planning, domain reasoning
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-71979OAI: oai:DiVA.org:oru-71979DiVA, id: diva2:1284177
Conference
28th International Conference on Automated Planning and Scheduling, Delft, The Netherlands, June 24-29, 2018
Projects
CARESSES
Funder
EU, Horizon 2020, 737858Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-02-04Bibliographically approved

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Köckemann, UweKhaliq, Ali AbdulPecora, FedericoSaffiotti, Alessandro

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CiteExportLink to record
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Citation style
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