Apply the theory of robotics within the field of an automation or industrial setting. You'll develop strategies to implement a robotic or automation system within a given scenario. During this module, you'll also analyse various industrial processes and determine types of automation most suitable to these processes, from plant layout to engineering costing. Additionally, you'll develop and assess a robotic solution for the successful automation process, including specification, programming, and cell design.
Develop your mathematical, general engineering, and academic study skills required by the credit bearing modules in year two. You'll study mathematical topics such as complex numbers and analysis, fourier series and laplace transforms. Additionally, you'll cover discipline abilities including filter design, motors and microcontrollers and microprocessors. Finally, you'll learn academic skills such as report writing, referencing and data sourcing, and interpretation of engineering standards.
Building on the knowledge gained in your first year, you'll enhance your ability to analyse and develop electronic and electrical systems. This module will teach you how to use complex numbers in the analysis of series, parallel and series-parallel AC circuits. You'll learn how to apply network analysis techniques to complex AC circuits and use simulation software to examine more complex networks.
This module will introduce you to the principles of operating systems in relation to robotics. You'll use GNU, Linux and other shell and scripting tools, following the Unix principle of composability, to link disparate pieces of code to control robotics systems. You'll also be introduced to dedicated robotics operating systems, such as the Robot Operating System (ROS), which you'll have the opportunity to use.
Apply the theory of device control in a variety of systems. You'll investigate the theory, properties and fundamentals of control systems. You'll learn to program devices using control strategies and selected sensors and actuators. In addition, you'll begin to understand the underlying scientific, mathematical, and statistical principles used in system design.
Enhance your proficiency in analysing and developing simple analogue electronic circuits.
Gain an understanding of core mathematical techniques and how these have been used across engineering disciplines over their evolution. You'll apply computer-based tools, concepts and methods to solve relevant engineering problems in specific problem domains.