Course overview
To gain knowledge and skills in mechatronic design principles for the development of a robotic system, incorporating the use of embedded systems, advanced control, signal processing and machine learning algorithms.
Course learning outcomes
- Apply the basic operating principles of sensing, sensor fusion and control to operate small autonomous vehicles
- Explain the perception, localisation, cognition and motion control featured in autonomous systems
- Given a design problem, identify and critically review relevant engineering literature for state-of-the-art solutions
- Demonstrate proficiency in using the sensors and actuators on the given mobile robot platform, supported by a clear understanding of the physical principles and operational characteristics of the devices
- Create mechanical designs in evolutionary iterations to integrate additional hardware components with the mobile robot platform, and determine the resultant system dynamics
- Implement inertial navigation and motion control on a mobile robot, with a clear understanding of the underlying theory and practical limitations
- Based on a top-down design, develop embedded software integrating application logic, information processing, sensing, actuation and communications, while demonstrating professional software development practices
- Work independently and in a team, and communicate research and development outcomes through professional presentation and documentation
Degree list
The following degrees include this course