On Distributed Knowledge Bases for Small-Batch Assembly

Summary, in English

This paper presents ongoing research involving design and evaluation of different architectures for providing knowledge-based solutions in industrial robotized automation systems. The conclusions are that distributed, cloud-based approaches offer many possibilities, in particular for knowledge exchange and reuse, and facilitate new business models for industrial solutions. However, there are many unresolved questions yet, e.g., those related to reliability, consistency, or legal responsibility. There is a definite need for further research and better infrastructure before this approach would become attractive for industrial actors.

• Author: Maj Stenmark; Jacek Malec; Klas Nilsson; Anders Robertsson
• Department/s: Department of Computer Science; Department of Automatic Control; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; eSSENCE: The e-Science Collaboration; Robotics and Semantic Systems
• Publishing year: 2013
• Language: English
• Full text: - 2 MB; Download statistics
• Links: http://www.roboearth.org/iros2013
• Document type: Conference paper
• Topic: Control Engineering; Computer Science
• Conference name: Cloud Robotics Workshop, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
• Conference date: 2013-11-03
• Conference place: Tokyo Big Sight, Japan
• Status: Published
• Research group: RSS