The goal of autonomous mobile robotics is to build and control physical systems which can move purposefully and without human intervention in real-world environments which have not been specifically engineered for the robot. The development of techniques for autonomous mobile robot operation constitutes one of the major trends in the current research and practice in modern robotics. This volume presents a variety of fuzzy logic techniques which address the challenges posed by autonomous robot navigation. The focus is on four major problems: how to design robust behavior-producing control modules; how to use data from sensors for the purpose of environment modeling; and how to integrate high-level reasoning and low-level behavior execution. In this volume state-of-the-art fuzzy logic solutions are presented and their pros and cons are discussed in detail based on extensive experimentation on real mobile robots.
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
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The goal of autonomous mobile robotics is to build and control physical systems which can move purposefully and without human intervention in real-world environments which have not been specifically engineered for the robot. The development of techniques for autonomous mobile robot operation constitutes one of the major trends in the current research and practice in modern robotics. This volume presents a variety of fuzzy logic techniques which address the challenges posed by autonomous robot navigation. The focus is on four major problems: how to design robust behavior-producing control modules; how to use data from sensors for the purpose of environment modeling; and how to integrate high-level reasoning and low-level behavior execution. In this volume state-of-the-art fuzzy logic solutions are presented and their pros and cons are discussed in detail based on extensive experimentation on real mobile robots.
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First Sentence:
The goal of autonomous mobile robotics is to build physical systems that can move purposefully and without human intervention in unmodified environments that is, in real-world environments that have not been specifically engineered for the robot. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
speed control behavior, objective behavior coordination, recurrent fuzzy system, fuzzy behaviorist approach, fuzzy state variables, multiple objective decision problem, sensor fusion step, subgoal approach, robot behavior design, fuzzy segments, fuzzy behavior fusion, behavior coordination mechanisms, path following strategy, helicopter autopilot, error rectangle, command fusion, autonomous vehicle navigation, lookahead distance, genetic fuzzy systems, subgoal planning, fuzzy behaviors, trapezoidal fuzzy set, radiation cone, fuzzification module, strategic speed Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Backward Medium, Forward Medium, Technical Report, Academic Press, John Wiley, Paolo Pirjanian, San Francisco, Springer Verlag, World Congress, International Symposium, Kluwer Academic Publishers, New Orleans, World Automation Congress, Backward Slow Forward Slow, Carnegie Mellon University, Computional Intelligence, Possibilistic Logic, Prentice Hall, Spring Symposium, Vleft Vright New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
The goal of autonomous mobile robotics is to build physical systems that can move purposefully and without human intervention in unmodified environments that is, in real-world environments that have not been specifically engineered for the robot. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
speed control behavior, objective behavior coordination, recurrent fuzzy system, fuzzy behaviorist approach, fuzzy state variables, multiple objective decision problem, sensor fusion step, subgoal approach, robot behavior design, fuzzy segments, fuzzy behavior fusion, behavior coordination mechanisms, path following strategy, helicopter autopilot, error rectangle, command fusion, autonomous vehicle navigation, lookahead distance, genetic fuzzy systems, subgoal planning, fuzzy behaviors, trapezoidal fuzzy set, radiation cone, fuzzification module, strategic speed Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Backward Medium, Forward Medium, Technical Report, Academic Press, John Wiley, Paolo Pirjanian, San Francisco, Springer Verlag, World Congress, International Symposium, Kluwer Academic Publishers, New Orleans, World Automation Congress, Backward Slow Forward Slow, Carnegie Mellon University, Computional Intelligence, Possibilistic Logic, Prentice Hall, Spring Symposium, Vleft Vright New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 40
books:
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16
books
cite this book:
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- Intelligent Robots and Systems by V. Graefe on 5 pages
- An Introduction to Fuzzy Control by Dimiter Driankov on page 47, and page 228
- Behavior-Based Robotics (Intelligent Robotics and Autonomous Agents) by Ronald C. Arkin on page 21, and page 251
- Genetic Algorithms in Engineering and Computer Science (Wiley series in computational methods in applied sciences) by Gerhard Winter on page 146, and page 147
- Fuzzy Data Analysis (Theory and Decision Library B) by Hans Bandemer on page 278
See all 40 books this book cites
- Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing) by Patrick Wong in Front Matter
- Fuzzy Mathematics: An Introduction for Engineers and Scientists by John N. Mordeson in Front Matter
- Soft Computing Agents by Salvatore Sessa in Front Matter
- Hardware Implementation of Intelligent Systems by Horia-Nicolai Teodorescu in Front Matter
- Dynamical Aspects in Fuzzy Decision Making (Studies in Fuzziness and Soft Computing) by Yuji Yoshida in Front Matter
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