Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior

In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical systems, fault diagnosis and avoidance of critical conditions, optimization, and adaptive behavior. This book discusses examples from major areas of research for engineers and researchers, providing an extensive background on robotics and industrial systems with intelligence, autonomy, and adaptive behavior giving emphasis to industrial systems design.

Gerasimos Rigatos received a diploma in Electrical and Computer Engineering (1995) and Ph.D. (2000), both from the National Technical University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher at the Institut de Recherche en Informatique et Systèmes Aléatoires, in Rennes, France, while in 2007 he was an invited professor (maître des conférences) at Université Paris XI Orsay, Insitut d' Electronique Fondamentale. Since 2002 he holds a researcher position at the Industrial Systems Institute, in Patras, Greece (Senior Researcher since 2007). In 2008 he was elected assistant professor at the Department of Electrical and Computer Engineering of the National Technical University of Athens (Decree 407/80). His research interests include robotics and control, fault diagnosis, computational intelligence and adaptive systems. He is a member of IEEE and of the Technical Chamber of Greece.