Offering Information
Please select an offering above to get offering specific information
Course Team
Tobias Low
Summary
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 … For more content click the Read More button below.
SynopsisKinematic 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.
Requisites
Course Pre-requisites
Other Requisites or Enrolment Rules
Other
Other Requirements
Other
Offerings
Trimester 2
OL-TWMBA-TR2
ON-SPRNG-TR2
ON-TWMBA-TR2
Learning Outcomes
Upon completion of this course, graduates will be able to:
1.
appreciate and analyse kinematics and positional control of articulated manipulators;
2.
design techniques for controlling mechanical systems;
3.
appreciate basics of machine vision concepts applicable to robotics.
4.
design techniques and analyse filtering methods for advanced sensors
Topics
1. Kinematics and inverse kinematics for robots
2. Control for robots
3. Robot programming principles
4. Introduction to sensing for robots
5. Machine vision for robots
Assessments
Assessment due dates (as listed in Week Due) are indicative until finalised by the end of Week 1 for each Study Period (Offering). After Week 1, Assessment due dates may change with the approval of the Dean (Academic) or Delegate in limited circumstances. All Assessment due date changes approved after Week 1 will be communicated to students accordingly via Handbook and StudyDesk.