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Robots Learning from Experiences (Dagstuhl Seminar 14081)

Authors: Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze

Published in: Dagstuhl Reports, Volume 4, Issue 2 (2014)

Abstract

This report documents the programme and the outcomes of Dagstuhl Seminar 14081 "Robots Learning from Experiences". The report begins with a summary comprising information about the seminar topics, the programme, important discussion points, and conclusions. The main body of the report consists of the abstracts of 25 presentations given at the seminar, and of four reports about discussion groups.

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Anthony G. Cohn, Bernd Neumann, Alessandro Saffiotti, and Markus Vincze. Robots Learning from Experiences (Dagstuhl Seminar 14081). In Dagstuhl Reports, Volume 4, Issue 2, pp. 79-109, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{cohn_et_al:DagRep.4.2.79,
  author =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  title =	{{Robots Learning from Experiences (Dagstuhl Seminar 14081)}},
  pages =	{79--109},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{2},
  editor =	{Cohn, Anthony G. and Neumann, Bernd and Saffiotti, Alessandro and Vincze, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.2.79},
  URN =		{urn:nbn:de:0030-drops-45465},
  doi =		{10.4230/DagRep.4.2.79},
  annote =	{Keywords: Learning, experiences, cognitive systems}
}

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DOI: 10.4230/DagSemProc.09431.1

09421 Abstracts Collection – From Form to Function

Authors: Darius Burschka, Heiner Deubel, Danica Kragic, and Markus Vincze

Published in: Dagstuhl Seminar Proceedings, Volume 9431, From Form to Function (2010)

Abstract

From October 18 to October 23, 2009 the Dagstuhl Seminar 09431 ``From Form to Function '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

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Darius Burschka, Heiner Deubel, Danica Kragic, and Markus Vincze. 09421 Abstracts Collection – From Form to Function. In From Form to Function. Dagstuhl Seminar Proceedings, Volume 9431, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{burschka_et_al:DagSemProc.09431.1,
  author =	{Burschka, Darius and Deubel, Heiner and Kragic, Danica and Vincze, Markus},
  title =	{{09421 Abstracts Collection – From Form to Function}},
  booktitle =	{From Form to Function},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{9431},
  editor =	{Darius Burschka and Heiner Deubel and Danica Kragic and Markus Vincze},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09431.1},
  URN =		{urn:nbn:de:0030-drops-24197},
  doi =		{10.4230/DagSemProc.09431.1},
  annote =	{Keywords: Recognition of structure, form and shape, affordances, perception action loop, Grasping}
}

Document

DOI: 10.4230/DagSemProc.08091.2

Abstraction, ontology and task-guidance for visual perception in robots

Authors: Matthias Schlemmer and Markus Vincze

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract

For solving recognition tasks in order to navigate in unknown environments and to manipulate objects, humans seem to use at least the following crucial capabilities: abstraction (for storing higher-level concepts of things), common sense knowledge and prediction. Whereas the first and second provide the basis for situated recognition, the second and third serve for pruning the search space as it helps anticipating what (in an abstract sense) they will see next and where. The main goal of our current research is, how we could use such a kind of "common sense world knowledge" for guiding visual perception and understanding scenes. Therefore, we are combining an owl-ontology with the output of vision tools. The additional use of abstraction techniques tries to establish the possibility of detecting higher level concepts, such as arches composed of a variable number of parts. The goal is to finally find concepts such as doors and tables in arbitrary scenes in order to arrive at a generic recognition tool for home robots. The ontology should additionally provide task-specific information about the things to detect.

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Matthias Schlemmer and Markus Vincze. Abstraction, ontology and task-guidance for visual perception in robots. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{schlemmer_et_al:DagSemProc.08091.2,
  author =	{Schlemmer, Matthias and Vincze, Markus},
  title =	{{Abstraction, ontology and task-guidance for visual perception in robots}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.2},
  URN =		{urn:nbn:de:0030-drops-16081},
  doi =		{10.4230/DagSemProc.08091.2},
  annote =	{Keywords: Abstraction, ontology, task, vision}
}

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Documents authored by Vincze, Markus

Robots Learning from Experiences (Dagstuhl Seminar 14081)

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09421 Abstracts Collection – From Form to Function

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Abstraction, ontology and task-guidance for visual perception in robots

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