Focusing on cooperation in multi-agent systems, this book delves into the design, testing, and deployment of aerial robots, highlighting advancements in technology that make real-world applications feasible. It examines both team dynamics and deterministic decision-making processes, providing insights into the complexities and methodologies involved in multi-robot systems.
Focusing on the formulation of fundamental tasks in missions, this book offers a systems engineering perspective tailored for UAV projects. It highlights the identification of core challenges that must be addressed across various applications, presenting guidelines for solving generic robotic problems. The approach aims to enhance understanding and efficiency in tackling complex issues within the realm of unmanned aerial vehicles.
Focusing on aerial robots, the book covers essential topics such as motion planning, deterministic decision-making, and strategies for dealing with uncertainty. It also explores multi-robot planning, providing readers with practical insights through case studies that illustrate these concepts in action. This comprehensive guide is ideal for those interested in the technical aspects of robotics and autonomous systems.
Advanced methods of flight control and planning for UAVs are explored, emphasizing theoretical and algorithmic approaches in dynamic environments. The book covers computational intelligence modeling and decision-making processes, starting with foundational concepts related to fixed-wing UAVs and progressing to more complex techniques. It also assesses the current state of UAV autonomy, making it a comprehensive resource for understanding the latest advancements in flight planning and control.
The book introduces a hierarchical decoupled planning and control strategy specifically designed for lighter-than-air robots. It emphasizes the creation of feasible flight paths that avoid obstacles while minimizing discrepancies between the robot's measured trajectory and a reference trajectory. This approach enhances the operational efficiency and accuracy of aerial navigation in challenging environments.
An aerial robot is a system capable of sustained flight with no direct human control and able to perform a specific task. The third level generates flyable, timed trajectories and the last one is the tracking controller that attempts to minimize the error between the robot measured trajectory and the reference trajectory.