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.

• Author: Mathias Haage; Jacek Malec; Anders Nilsson; Klas Nilsson; Sławomir Nowaczyk
• Editor: Anders Kofod-Petersen; Fredrik Heintz; Helge Langseth
• Department/s: Department of Computer Science; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Robotics and Semantic Systems
• Publishing year: 2011
• Language: English
• Pages: 163-172
• Publication/Series: Eleventh Scandinavian Conference on Artificial Intelligence
• Volume: 227
• Links: http://dx.doi.org/10.3233/978-1-60750-754-3-163
• Document type: Book chapter
• Publisher: IOS Press
• Topic: Computer Science
• Status: Published
• Research group: RSS
• ISBN/ISSN/Other: ISBN: 978-1-60750-753-6; ISBN: 978-1-60750-754-3