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Robotics and machine vision are specialised aspects of mechatronics. Robotics is the fusion of digital control with sensors, electronics and mechanisms to realise an application of value to manufacturing and other industries. Machine vision is an advanced sensing technique with applications in robotic guidance and automated systems. Key to the development of these systems is the design of mechatronic control systems embracing nonlinearities in both the system and the controller. This capstone course within the mechatronics major will utilise interdisciplinary knowledge from previous courses and combine it with more advanced methods and techniques to further develop and equip a mechatronic student with advanced system integration skills. It will prepare students to tackle robotic and automated system development in their future career using state-of-the-art and rapidly evolving technologies.

Kinematic methods are taught for the design and analysis of robot manipulators and similar mechanisms. Aspects of control theory cover modelling and synthesis of nonlinear controllers such as the saturating drives demanded for real life actuator systems. The vision syllabus ranges over the variety of image acquisition systems now available, leading on to methods of image analysis. Image filtering and edge detection are compared with more pragmatic methods and examples are taken from research outcomes such as a vision guidance system for agricultural tractors and mobile robot systems.

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

1. apply and analyse kinematics and positional control of articulated manipulators;
2. design techniques for controlling mechanical and autonomous systems;
3. synthesise and implement basics of machine vision concepts applicable to robotics.