Enhanced and Autonomous Machinery and Vehicles


These lecture series are dedicated in communicating the fundamentals of Enhanced and Autonomous Machinery and Vehicles, with emphasis on their agricultural exploitation.
The areas being covered include but are not limited to:
Justifying the need for smarter machines and vehicles in agriculture. Electromechanical requirements and automatic control methods. Guidelines for the selection of sensor, actuator, microcontroller and networking equipment. Techniques for handling heterogeneous signals in real-time environments. Cyber-physical system basics. Methods for selecting the participating components. Automatic control fundamentals. Energy efficiency and sustainability guidelines. Ergonomics and security. Evaluation techniques. Exemplification with actual robots for agricultural purposes.

WEEKCourse Contents
1STDefining the role of smarter machines in agriculture
2NDElectromechanical requirements and implementation directions
3RDAutomatic control fundamentals (I)
4THAutomatic control fundamentals (II)
5THSelecting sensor, actuator, microcontroller and network elements
6THAdding intelligence to the robots
7THHandling heterogeneous signals in real-time conditions
8THEmphasizing on camera and GPS sensor assisted vehicles for fluent navigation
9THIncorporating directions for energy efficiency and sustainable operation
10TH Recording and evaluating the behavior of the robotic machines
11THAddressing security and ergonomics issues
12THTesting diverse implementations using custom agricultural robotic vehicles
13THExperimentation with emphasis on agricultural applications

Exams, marking and student assessment

A combination of written exams and project assignments during the semester