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Advanced Robotics and Intelligent Machines on Hardback
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Advanced Robotics and Intelligent Machines

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Description

Providing an overview of contemporary research with advanced robotic systems, this volume surveys recent applications and highlights a number of concepts and procedures which may influence future directions in the field. The first section covers the basic generic technologies involved in the evolution of advanced robots. Section 2 is concerned with a range of practical applications. It also contains a number of surveys of uses in specific domains. The final section focuses on emerging technologies such as microrobotics, learning systems and co-operant robotic behaviour.

Author Biography:

John Gray is Professor of Control and Systems Engineering, Chairman of the Department of Electronic Engineering and Director of the Telford Research Institute at the University of Salford. In 1986 he took part in forming a five-year research programme on advanced robotics, in association with 12 industrial partners who collaborated in the government-sponsored National Advanced Robotics Research Centre (ARRC) at Salford. He served as Research Director of the ARRC, chaired its technical committee and was the main board member of its industrial consortium, Advanced Robotics Research Ltd. He is a member of the permanent international committee of the International Conference on Advanced Robotics and a Fellow of the IEE. Darwin Caldwell is a Lecturer in Advanced Robotics at the University of Salford. His research interests cover all aspects of robotics, with particular emphasis on dextronus manipulator design, multi-functional tactile sensing and feedback and novel actuator design, with primary applications in the field of tele-presence. He has authored over 50 publications and is an Associate Member of the IEE.
Release date NZ
October 31st, 1995
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Contributors
  • Edited by D.G. Caldwell
  • Edited by J.O. Gray
Pages
400
ISBN-13
9780852968536
Product ID
9136762

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