Knowledge-Based Industrial Robotics

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Abstract

When robots are working in dynamic environments, close to humans
lacking extensive knowledge of robotics, there is a strong need to
simplify the user interaction and make the system execute as
autonomously as possible. For industrial robots working
side-by-side with humans in manufacturing industry, AI systems are
necessary to lower the demand on programming time
and expertise. We are convinced that only by building a system with
appropriate knowledge and reasoning services, we can simplify the robot
programming sufficiently to meet those demands and still get a robust
and efficient task execution.

In this paper, we present a system we have realized that aims at
fulfilling the above demands. The paper focuses on the ontologies we
have created for robotic devices and manufacturing tasks, and presents
examples of AI-related services using the semantic descriptions of the
skills to help the user instruct the robot adequately.
Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsManfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
PublisherIOS Press
Pages265-274
Number of pages10
Volume257
ISBN (Print)978-1-61499-330-8, 978-1-61499-329-2
DOIs
Publication statusPublished - 2013
EventThe 12th Scandinavian Conference on Artificial Intelligence (SCAI) - Aalborg, Denmark
Duration: 2013 Nov 202013 Nov 22

Publication series

Name
Volume257
ISSN (Print)0922-6389

Conference

ConferenceThe 12th Scandinavian Conference on Artificial Intelligence (SCAI)
Country/TerritoryDenmark
CityAalborg
Period2013/11/202013/11/22

Subject classification (UKÄ)

  • Computer Science

Free keywords

  • industrial robotics
  • knowledge representation
  • robot skills
  • assembly
  • service-oriented architecture.

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