Hybrid Intelligent Systems and Cognitive Robotics

Stefan Wermter University of Sunderland

http://www.his.sunderland.ac.uk

Abstract

There has been substantial progress in both intelligent systems and robotics in recent years. While in the past robots were most successful in traditional industrial environments, new generations of hybrid intelligent robotic systems are being developed which focus on higher cognitive capabilities, including reasoning learning and language communication. In this talk we will give an overview of learning neural robots from a perspective of integrative hybrid intelligent systems and illustrate some new developments including also examples under development in the Centre for Hybrid Intelligent Systems.

Biography

Professor Stefan Wermter holds the Chair in Intelligent Systems at the University of Sunderland, UK and is the Director of the Centre for Hybrid Intelligent Systems. His research interests are in Intelligent Systems, Neural Networks, Cognitive Neuroscience, Hybrid Systems, Language Processing, and Learning Robots. He has an MSc from the University of Massachusetts, USA and a PhD and Habilitation from the University of Hamburg, Germany, both in Computer Science and was a Research Scientist at Berkeley, USA before joining the University of Sunderland. Professor Wermter has written or edited four books and published about 100 articles on this research area, including books like "Hybrid Connectionist Natural Language Processing" or "Connectionist, Statistical, and Symbolic Approaches to Learning for

Natural Language Processing", "Hybrid Neural Systems" and "Emergent Neural Computational Architectures based on Neuroscience".

Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (HIS’05) 0-7695-2457-5/05 $20.00 © 2005 IEEE