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The RACE Project : Robustness by Autonomous Competence Enhancement

Hertzberg, Joachim (author)
Osnabrück University, Osnabrück, Germany
Zhang, Jianwei (author)
Hamburg University, Hamburg, Germany
Zhang, Liwei (author)
Hamburg University, Hamburg, Germany
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Rockel, Sebastian (author)
Hamburg University, Hamburg, Germany
Neumann, Bernd (author)
Hamburg University, Hamburg, Germany
Lehmann, Jos (author)
Hamburg University, Hamburg, Germany
Dubba, Krishna S.R. (author)
University of Leeds, Leeds, England
Cohn, Anthony G. (author)
University of Leeds, Leeds, England
Saffiotti, Alessandro, 1960- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Pecora, Federico, 1977- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Mansouri, Masoumeh (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Konečný, Štefan (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
Günther, Martin (author)
Osnabrück University, Osnabrück, Germany
Stock, Sebastian (author)
Osnabrück University, Osnabrück, Germany
Seabra Lopes, Luis (author)
University of Aveiro, Aveiro, Portugal
Oliveira, Miguel (author)
University of Aveiro, Aveiro, Portugal
Lim, Gi Hyun (author)
University of Aveiro, Aveiro, Portugal
Kasaei, Hamidreza (author)
University of Aveiro, Aveiro, Portugal
Mokhtari, Vahid (author)
University of Aveiro, Aveiro, Portugal
Hotz, Lothar (author)
HITeC Hamburger Informatik Technologie-Center e. V., Hamburg, Germany
Bohlken, Wilfried (author)
HITeC Hamburger Informatik Technologie-Center e. V., Hamburg, Germany
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 (creator_code:org_t)
2014-09-21
2014
English.
In: Künstliche Intelligenz. - : Springer Berlin/Heidelberg. - 0933-1875 .- 1610-1987. ; 28:4, s. 297-304
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This paper reports on the aims, the approach, and the results of the European project RACE. The project aim was to enhance the behavior of an autonomous robot by having the robot learn from conceptualized experiences of previous performance, based on initial models of the domain and its own actions in it. This paper introduces the general system architecture; it then sketches some results in detail regarding hybrid reasoning and planning used in RACE, and instances of learning from the experiences of real robot task execution. Enhancement of robot competence is operationalized in terms of performance quality and description length of the robot instructions, and such enhancement is shown to result from the RACE system.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
art (subject category)

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