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Intelligent Robotic Systems

Design, Planning, and Control

  • Witold Jacak

Part of the IFSR International Series on Systems Science and Engineering book series (IFSR, volume 14)

Table of contents

  1. Front Matter
    Pages i-x
  2. Pages 1-8
  3. Off-Line Planning, Programming, and Simulation of Intelligent Robotic Systems

  4. Event-Based Real-Time Control of Intelligent Robotic Systems Using Neural Networks and Fuzzy Logic

  5. Back Matter
    Pages 295-310

About this book

Introduction

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.

Keywords

Computer-Aided Manufacturing (CAM) Fuzzy Simulation artificial intelligence design fuzzy logic intelligence learning logic programming robot systems theory

Authors and affiliations

  • Witold Jacak
    • 1
    • 2
  1. 1.Johannes Kepler UniversityLinzAustria
  2. 2.Polytechnic University of Upper AustriaHagenbergAustria

Bibliographic information

  • DOI https://doi.org/10.1007/b115982
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-306-46062-3
  • Online ISBN 978-0-306-46967-1
  • Series Print ISSN 1574-0463
  • Buy this book on publisher's site