Citation
(1999), "Intelligent Robotics", Industrial Robot, Vol. 26 No. 4. https://doi.org/10.1108/ir.1999.04926dae.002
Publisher
:Emerald Group Publishing Limited
Copyright © 1999, MCB UP Limited
Intelligent Robotics
Intelligent Robotics
M.H. LeeOpen University Press1989224 pp.ISBN 0-335-15421-2
Intelligent Robotics is a well written and easy to read book describing topics with a minimal use of jargon and is suitable for undergraduate, graduate and practising engineers from either computing or robotics backgrounds. The book uses examples from industrial robot tasks to present the problem and issues that should be considered when intelligent factory automation systems are being designed.
Chapter 1 discusses aiming for realistic goals, artificial intelligence (AI), industrial emphasis, an introduction to robots, sensing thinking and acting. It also introduces a scenario of a robot in a factory and indicates the various problems and aspects of intelligence that may arise. Chapters 2 and 3 consider sensors and artificial sight respectively. Sensor selection, deployment and integration, computer vision applications, control and co-ordination, pattern recognition, the importance of constraints and industrial vision systems are amongst the topics discussed.
The difference between sensation and perception is explained in chapter 4, which also outlines central problems for all powerful sensing systems. The following two chapters cover building a knowledge base and how to create procedures for accessing and manipulating knowledge.
Speech processing and language analysis are discussed in chapter 7, while chapter 8 deals with expert systems. Chapter 9 discusses errors, failures and disasters, including the importance of automatic error diagnosis and recovery, classes of errors, observed behaviour and internal states, failures in the assembly world, coping with errors and building a world model.
Chapter 10 discusses the influence of AI on the design process, along with the application of the techniques from the previous chapters as relevant to the initial factory scenario. The final chapter examines the critical differences between intelligent systems that are capable of flexibly performing industrial tasks and the long term possibilities of systems that emulate human performance.