Description
Book SynopsisImprove 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 navigationeven 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
Table of Contents
Global concepts/challenges related to the control of intelligent mobile robots. Autonomous navigation in cluttered environments. HybridCD (continuous/discrete) multi-controller architectures. HybridRC (reactive/cognitive) and homogeneous control architecture based on PELC. Flexible and reliable autonomous vehicle’s navigation using optimal waypoint configuration. Cooperative control of multi-robot systems. General conclusion and prospects. Appendices.
