Knowledge-Based Industrial Robotics

Summary, in English

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.

• Author: Maj Stenmark; Jacek Malec
• Editor: Manfred Jaeger; Thomas Dyhre Nielsen; Paolo Viappiani
• Department/s: Department of Computer Science; eSSENCE: The e-Science Collaboration; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Robotics and Semantic Systems
• Publishing year: 2013
• Language: English
• Pages: 265-274
• Publication/Series: Frontiers in Artificial Intelligence and Applications
• Volume: 257
• Full text: - 560 kB; Download statistics
• Links: http://dx.doi.org/10.3233/978-1-61499-330-8-265
• Document type: Conference paper
• Publisher: IOS Press
• Topic: Computer Science
• Keywords: industrial robotics; knowledge representation; robot skills; assembly; service-oriented architecture.
• Conference name: The 12th Scandinavian Conference on Artificial Intelligence (SCAI)
• Conference date: 2013-11-20 - 2013-11-22
• Conference place: Aalborg, Denmark
• Status: Published
• Research group: RSS
• ISBN/ISSN/Other: ISSN: 0922-6389; ISBN: 978-1-61499-330-8; ISBN: 978-1-61499-329-2