Intelligent Control of Robotic Systems

  • Dusko Katic
  • Miomir Vukobratovic

Table of contents

  1. Front Matter
    Pages i-xix
  2. Dusko Katic, Miomir Vukobratovic
    Pages 1-19
  3. Dusko Katic, Miomir Vukobratovic
    Pages 21-70
  4. Dusko Katic, Miomir Vukobratovic
    Pages 71-112
  5. Dusko Katic, Miomir Vukobratovic
    Pages 113-131
  6. Dusko Katic, Miomir Vukobratovic
    Pages 133-154
  7. Dusko Katic, Miomir Vukobratovic
    Pages 155-192
  8. Dusko Katic, Miomir Vukobratovic
    Pages 223-255
  9. Back Matter
    Pages 257-296

About this book


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.


Fuzzy algorithms classification control algorithm development fuzzy logic genetic algorithms learning logic robot robotics

Authors and affiliations

  • Dusko Katic
    • 1
  • Miomir Vukobratovic
    • 1
  1. 1.Robotics LaboratoryMihailo Pupin Institute BelgradeSerbia, Serbia & Montenegro

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6426-4
  • Online ISBN 978-94-017-0317-8
  • Series Print ISSN 2213-8986
  • Buy this book on publisher's site