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Poster: Towards multi-robot applications planning under uncertainty
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, perception and learning, RPL.ORCID iD: 0000-0003-4173-2593
2018 (English)In: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, IEEE Computer Society, 2018, p. 438-439Conference paper, Published paper (Refereed)
Abstract [en]

Novel robotic applications are no longer based on single robots. They rather require teams of robots that collaborate and interact to perform a desired mission. They must also be used in contexts in which only partial knowledge about the robots and their environment is present. To ensure mission achievement, robotic applications require the usage of planners that compute the set of actions the robots must perform. Current planning techniques are often based on centralized solutions and hence they do not scale when teams of robots are considered, they consider rather simple missions, and they do not work in partially known environments. To address these challenges, we present a planning solution that decomposes the team of robots into subclasses, considers complex high-level missions given in temporal logic, and at the same time works when only partial knowledge of the environment is available.

Place, publisher, year, edition, pages
IEEE Computer Society, 2018. p. 438-439
Series
Proceedings - International Conference on Software Engineering, ISSN 0270-5257
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-238224DOI: 10.1145/3183440.3195046ISI: 000450109000186Scopus ID: 2-s2.0-85049670520ISBN: 9781450356633 (print)OAI: oai:DiVA.org:kth-238224DiVA, id: diva2:1264715
Conference
40th ACM/IEEE International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, 27 May 2018 through 3 June 2018
Note

QC 20181121

Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2019-05-20Bibliographically approved

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Tumova, Jana

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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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  • de-DE
  • en-GB
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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