License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.1.32
URN: urn:nbn:de:0030-drops-72451
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7245/
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Ghallab, Malik ; Hawes, Nick ; Magazzeni, Daniele ; Williams, Brian C. ; Orlandini, Andrea
Weitere Beteiligte (Hrsg. etc.): Malik Ghallab and Nick Hawes and Daniele Magazzeni and Brian C. Williams and Andrea Orlandini

Planning and Robotics (Dagstuhl Seminar 17031)

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dagrep_v007_i001_p032_s17031.pdf (0.9 MB)


Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 17031 on "Planning and Robotics". The seminar was concerned with the synergy between the research areas of Automated Planning & Scheduling and Robotics. The motivation for this seminar was to bring together researchers from the two communities and people from the Industry in order to foster a broader interest in the integration of planning and deliberation approaches to sensory-motor functions in robotics. The first part of the seminar was dedicated to eight sessions composed on several topics in which attendees had the opportunity to present position statements. Then, the second part was composed by six panel sessions where attendees had the opportunity to further discuss the position statements and issues raised in previous sessions. The main outcomes were a greater common understanding of planning and robotics issues and challenges, and a greater appreciation of crossover between different perspectives, i.e., spanning from low level control to high-level cognitive approaches for autonomous robots. Different application domains were also discussed in which the deployment of planning and robotics methodologies and technologies constitute an added value.

BibTeX - Entry

@Article{ghallab_et_al:DR:2017:7245,
  author =	{Malik Ghallab and Nick Hawes and Daniele Magazzeni and Brian C. Williams and Andrea Orlandini},
  title =	{{Planning and Robotics (Dagstuhl Seminar 17031)}},
  pages =	{32--73},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{1},
  editor =	{Malik Ghallab and Nick Hawes and Daniele Magazzeni and Brian C. Williams and Andrea Orlandini},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7245},
  URN =		{urn:nbn:de:0030-drops-72451},
  doi =		{10.4230/DagRep.7.1.32},
  annote =	{Keywords: adjustable autonomy, artificial intelligence, automated planning and scheduling, goal reasoning, human-robot interaction, plan execution, robotics}
}

Keywords: adjustable autonomy, artificial intelligence, automated planning and scheduling, goal reasoning, human-robot interaction, plan execution, robotics
Collection: Dagstuhl Reports, Volume 7, Issue 1
Issue Date: 2017
Date of publication: 08.06.2017


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