Autonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures

Lounis Adouane

April 5, 2016 by A K Peters/CRC Press
Reference - 228 Pages - 16 Color & 111 B/W Illustrations
ISBN 9781498715584 - CAT# K25352

USD$99.95

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Features

  • Presents new ideas for gradually enhancing vehicle autonomy in complex environments
  • Gives an overview of the main achievements and challenges involving autonomous vehicles
  • Explains the design of innovative multi-controller architectures and their different components
  • Covers several elementary components related to task modeling, planning, and control that can be used as case studies in courses on robotics, automatic control, or computer science
  • Addresses mono- and multi-robot navigation
  • Includes extensive simulations and experiments to illustrate the methodology
  • Highlights software technologies and algorithms for experiments, with MATLAB and Simulink code available on the author’s website

Summary

Improve the Safety, Flexibility, and Reliability of Autonomous Navigation in Complex Environments

Autonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures explores the use of multi-controller architectures in fully autonomous robot navigation—even in highly dynamic and cluttered environments. Accessible to researchers and graduate students involved in mobile robotics and fully autonomous vehicle navigation, the book presents novel techniques and concepts that address different complex mobile robot tasks.

The author examines the development of reliable elementary controllers and proposes mechanisms to manage the interaction of these multi-controller architectures while addressing different constraints and enhancing metrics/criteria linked to the safety, flexibility, and reliability of the proposed control architectures. He covers the modeling of subtasks, reliable obstacle avoidance, appropriate stable control laws for target reaching/tracking, short- and long-term trajectory/waypoint planning, navigation through sequential waypoints, and the cooperative control and interaction of a group of mobile robots. The author’s website provides MATLAB® and Simulink® source code of the main procedures related to the task modeling, planning, and control of mobile robots. It also includes videos showing the main simulations and experiments given in the text.

In addition to flexible and bottom-up construction, multi-controller architectures can be formally analyzed to achieve reliable navigation in complex environments. This book reveals innovative control architectures that can lead to fully autonomous vehicle navigation in these challenging situations.