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Autonomous Vehicle Navigation - From Behavioral to Hybrid Multi-Controller Architectures (Paperback)
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Autonomous Vehicle Navigation - From Behavioral to Hybrid Multi-Controller Architectures (Paperback)
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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 (R) and Simulink (R) 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.
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