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Computational Intelligence, Control and Computer Vision in Robotics and Automation
Authors:   Bidyadhar Subudhi

ISBN: 978-81-7319-953-0 
Publication Year:   2009
Pages:   240
Binding:   Hard Back


About the book

Computational Intelligence, Control and Computer Vision in Robotics and Automation describes the significance of Computational Intelligence, Control and Computer Vision towards developing intelligent robots and industrial automation with applications. The key features of the book are: • Presents the state-of-the-art technologies on robotics research. • Includes an array of recent investigations on navigation, motion planning of mobile robots, control of underactuated systems such as flexible robots and quadrotor together with soft computing approaches to control of single and multiple rigid robots. • Assembles research contributions in the frontier areas of robotics and automation from major researchers in India, USA, Canada, United Kingdom, Mexico and Malaysia. • Provides new directions of robotics applications e.g. electrical power line maintenance.


Key Features



Table of content

Preface / Design and Development of Adaptive Robot Motion Planner / Kinematic and Dynamic Modeling of Intelligent Robot for Power System Fault Diagnosis / Motion Planning of an Intelligent Wheeled Mobile Robot for a Collision Free Path / Robust Control of a Flexible Robot Manipulator using Neural Networks and H? Technique / Soft-computing Techniques in the Trajectory Planning of Multi-robot Manipulators Systems / Quadrotor Control by Dynamic Inversion with Zerodynamics Stabilization / Multi-robot Cooperation by Swarm and Evolutionary Algorithm / Development of Higher-order Neural Units with Applications / Design of Adaptive Fuzzy Controller using Unsymmetrical and Symmetrical Triangular Fuzzy Sets for a Robot Arm / Detection of Chaos and Limit Cycles in Emotional Dynamics from the Facial Expressions of the Stimulated Subjects / Input Tracking and Vibration Control of a Single-Link Flexible Robot Manipulator / Index.




Audience
Postgraduate and Doctoral Students, Scientists and Engineers in Research Organizations and Industries working in the advanced topics on robotics and automation