| Short Description: | Robotics and Machine Vision |
| Units : | 1 |
| Faculty or Section : | Faculty of Health, Engineering and Sciences |
| School or Department : | School of Mechanical and Electrical Engineering |
| Student contribution band : | Band 2 |
| ASCED code : | 030799 - Mechanical, Industrial Enginee |
| Grading basis : | Graded |
Requisites
Pre-requisite: MEC2401 or ELE2103 or Students must be enrolled in one of the following Programs: MENS or GCEN
Other requisites
Recommended prior or concurrent study: MAT2500
Synopsis
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.
Course offers
| Semester | Mode | Campus |
|---|---|---|
| Semester 2, 2020 | On-campus | Springfield |
| Semester 2, 2020 | On-campus | Toowoomba |
| Semester 2, 2020 | Online |