Syllabus
Types of Autonomous Robotic Vehicles (ARVs): Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs) and Unmanned Underwater Vehicles (UUVs). Kinematics and dynamics of ARVs. Sensors and actuators of ARVs. Autonomous Navigation: position and course estimation, path planning techniques, Map representation. Control techniques for autonomous motion. AI and DES based methods for autonomous robotic vehicle navigation and Control. Autonomous robotic vehicle operation in unstructured environments. Robotic vehicle applications. Embedded and supervision software.
Learning Outcomes
Aim of the course is to familiarize students with the specific characteristics and applications of autonomous robotic vehicles of all categories, including the automatic control and trajectory design tools contributing to vehicles’ autonomy. Upon successful completion of the course, students will be able to:
- Determine the dynamic characteristics of the main categories of autonomous robotic vehicles (Autonomous Robotic Vehicles (ARVs), Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Marine Vehicles (UMVs),
- Understand the principles, concepts, and the system characteristics, being related to the kinematic and dynamic analysis of autonomous robotic vehicles.
- Understand the principles of operation of specific sensors and actuators used in autonomous robotic vehicles.
- Understand and apply appropriate tools for the estimation of the position, the velocity, the orientation, and the trajectory estimation for autonomous robotic vehicles.
- Design and apply appropriate tools, tuning the performance variables of autonomous robotic vehicles.
- Understand and apply appropriate tools for navigation and control of autonomous robotic vehicles using artificial intelligence and discrete event system methods.
- Understand the operational characteristics of software packages used in the supervision of autonomous robotic vehicles.
- Utilize the above knowledge to implement integrated applications of autonomous robotic vehicles.
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