Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
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.
Tutorials: A. Saffiotti: Fuzzy Logic in Autonomous Navigation.- D. Driankov: A Reminder of Fuzzy Logic.- Design of Individual Behaviors: A. Ollero, J. Ferruz, O. Sánchez, G. Heredia: Mobile Robot Path Tracking and Visual Target Tracking Using Fuzzy Logic.- R.R. Murphy: Fuzzy Logic for Fusion of Tactical Influences on Vehicle Speed Control.- J. Godjevac, N. Steele: Neuro-Fuzzy Control for Basic Mobile Robot Behaviours.- F. Hoffmann: The Role of Fuzzy Logic Control in Evolutionary Robotics.- Coordination of Behaviors: F.G. Pin, Y. Watanabe: Resolving Conflicts Between Behaviors Using Suppression and Inhibition.- S.G. Goodridge, M.G. Kay: Multi-Layered Fuzzy Behavior Fusion for Reactive Control of Autonomous Robots.- E.W. Tunstel Jr.: Fuzzy-Behavior Synthesis, Coordination, and Evolution in an Adaptive Behavior Hierarchy.- P. Pirjanian, M. Mataric: Multiple Objective vs. Fuzzy Behavior Coordination.- Mapping the Environment: E. Fabrizi, g. Oriolo, G. Ulivi: Accurate Map Building via Fusion of Laser and Ultrasonic Range Measures.- M. López-Sánchez, R. López de Màntaras, C. Sierra: Map Genaration by Co-operative Autonomous Robots Using Possibility Theory.- J. Gasós: Integrating Linguistic Descriptions and Sensor Observations for the Navigation of of Autonomous Robots.- Layer Integration: H. Surmann, L. Peters: MORIA: A Robot with Fuzzy Controlled Behaviour.- J. Zhang, A. Knoll: Integrating Deliberative and Reactive Strategies via Fuzzy Modular Control.