Intelligent Control of Robotic Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by D. Katic and published by Springer Science & Business Media which was released on 14 March 2013 with total hardcover pages 308. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Intelligent Control of Robotic Systems books below.

Intelligent Control of Robotic Systems
Intelligent Control of Robotic Systems
Author : D. Katic
File Size : 53,6 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 14 March 2013
ISBN : 9789401703178
Pages : 308 pages
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Intelligent Control of Robotic Systems by D. Katic Book PDF Summary

As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.

Intelligent Control of Robotic Systems

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As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate

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Intelligent Control of Robotic Systems

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Design and Control of Intelligent Robotic Systems

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Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and

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Intelligent Systems and Control: Principles and Applications is a textbook for undergraduate level courses on intelligent control, intelligent systems, adaptive control, and non-linear control. The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques.

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