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Physics lego figure. Photo.

Anders Björkelund


Physics lego figure. Photo.

Knowledge and Skill Representations for Robotized Production


  • Anders Björkelund
  • Jacek Malec
  • Klas Nilsson
  • Pierre Nugues

Summary, in English

Model-based systems in control are a means to utilize efficiently human knowledge and achieve high performance. While models consisting of formalized knowledge are used during the engineering step, running systems usually do not contain a high-level, symbolic representation of the control and most of its properties, typically named numerical parameters. On a system level and beyond the plant data, there is also a need to represent the meaning of the data such that deployment and fault analysis could be augmented with partly automated inference based on the semantics of the data. To that end, we extended the formalized knowledge traditionally used in control to include the control purpose, engineering assumption, quality, involved state machines, and so on. We then represented the control semantics in a format that allows an easier extraction of information using querying and reasoning. It aims at making knowledge in control engineering reusable so that it can be shipped together with the control systems. We implemented prototypes that include automatic conversion of plant data from AutomationML into RDF triples, as well as the automated extraction of control properties, the conversion of parameters, and their storage in the same triple store. Although these techniques are standard within the semantic web community, we believe that our robotic prototypes for semantic control represent a novel approach.


  • ELLIIT: the Linköping-Lund initiative on IT and mobile communication
  • Department of Computer Science
  • Robotics and Semantic Systems

Publishing year







Proceedings of the 18th IFAC World Congress, 2011

Document type

Conference paper




  • Computer Science


  • Model-based control
  • Knowledge representation
  • System architectures
  • Autonomous control
  • Industrial robots

Conference name

18th IFAC World Congress, 2011

Conference date

2011-08-28 - 2011-09-02

Conference place

Milan, Italy



Research group

  • RSS


  • ISSN: 1474-6670
  • ISBN: 978-3-902661-93-7