Role of Distributed Intelligence in Multi Mobile Robotic Platforms and Application Paradigm

게시일: Nov 27, 2014 7:38:23 AM

His rich blend of 30 continuous years of industrial and academic research and development involving industries including Racal, Vodafone, Nokia and Cable & Wireless at various senior positions worked and collaborated with a wide range of academies including University of Tehran, University of Zambia, Portsmouth University, Southampton University, Coventry University, Open University and Magdeburg German Universities. He has direct consultation Experience of Editor-in-Chief(s) and Guest Editor(s) for IEE, IET, and IEEE for Editorial Issues and Research Journals over 15 years. He has presented many prestigious keynotes and invited guest speaker, and has managed well over 100 projects, three books and well over 100 research papers and Book Chapters.

Since 2004, seeking for innovative ICT solutions paradigm for the humanity in association with University of Warwick, heading a special operation as the Director of Advanced Communication Systems involving various global academics, industries and professional institutions, to help to build a sustainable future global village.

Abstract of Dr. Rashvand's Invited Talk

With the integration of multidisciplinary technologies of wireless communications, smart sensors and precise actuators under advancing statistical information fusion, we envisage the emergence of a new multi mobile robotic system (MMRS) paradigm to prompt a new family of superior applications.  In order to achieve this challenging goal we need to move away from the existing traditional approach towards an improved ‘intelligent robotic industry’ for which we require superior autonomous robots equipped with a well-defined degree of intelligence to manipulate collective information to manage their own local tasks as well as joining in with all agreed cooperative scenario-based objectives. Following a brief introduction to distributed intelligence, this keynote redefines ‘robotic intelligence’ and expands on ‘distributed intelligent robotic systems’ (DIRS), addressing their impact on the usefulness of MMRS applications and their influence in the future of the global, industrialised economy. For MMRS industrial performance we address some innovative deployment approaches where the benefits of platform technology are discussed for flexibility and performance. Comparing different approaches we examine the most desirable required platforms optimised for design, manufacturing, service and operational performance. We also look into the key technologies enabling the promised MMRS application paradigm. In some detail we examine some of the recent development programs to analyse and highlight sustainable intelligent development platforms and classify them for their degree of intelligence and their suitability for short and long term application scenarios. At the intelligence adoption level, we discus the way DIRS can be integrated to identify five levels of robot autonomy and self-management, cluster level for local cooperative objectives, scenario-based cooperative objectives, overlay system management and industrial management of technology (mot).