Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture

Summary, in English

This article describes results of the work on knowledge representation techniques chosen for use in the European project SIARAS (Skill-Based Inspection and Assembly for Reconfigurable Automation Systems). Its goal was to create intelligent support system for reconfiguration and adaptation of robot-based manufacturing cells. Declarative knowledge is represented first of all in an ontology expressed in OWL, for a generic taxonomical reasoning, and in a number of special-purpose reasoning modules, specific for the application domain. The domain/dependent modules are organized in a blackboard-like architecture.

• Författare: Mathias Haage; Jacek Malec; Anders Nilsson; Klas Nilsson; Sławomir Nowaczyk
• Redaktör: Anders Kofod-Petersen; Fredrik Heintz; Helge Langseth
• Avdelning/ar: Institutionen för datavetenskap; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Robotik och Semantiska System
• Publiceringsår: 2011
• Språk: Engelska
• Sidor: 163-172
• Publikation/Tidskrift/Serie: Eleventh Scandinavian Conference on Artificial Intelligence
• Volym: 227
• Länkar: http://dx.doi.org/10.3233/978-1-60750-754-3-163
• Dokumenttyp: Del av eller Kapitel i bok
• Förlag: IOS Press
• Ämne: Computer Science
• Status: Published
• Forskningsgrupp: RSS
• ISBN/ISSN/Övrigt: ISBN: 978-1-60750-753-6; ISBN: 978-1-60750-754-3