ENGR7712 Autonomous Systems

Dr Russell Brinkworth

2021

4.5

1 x 2-hour lecture weekly
1 x 3-hour workshop weekly

1 ENGR3771 - Robotic Systems
2 ENGR3711 - Control Systems
3 Admission into MEB-Master of Engineering (Biomedical)
3a Admission into HBSC-Bachelor of Science (Honours)
3b Admission into HBIT-Bachelor of Information Technology (Honours)
3c Admission into GDPEB-Graduate Diploma in Engineering (Biomedical)
3d Admission into GDPEE-Graduate Diploma in Engineering (Electronics)
3e Admission into BENGRHMEE-B Engineering (Robotics) (Honours), M Engineering (Electronics)
3f Admission into BENGRMEE-Bachelor of Engineering (Robotics), Master of Engineering (Electronics)
3g Admission into MEEC-B Engineering (Robotics) (Honours), M Engineering (Electronics)
3h Admission into MEEE-Master of Engineering (Electrical and Electronic)
Must Satisfy: ((1 and 2) or ((3 or 3a or 3b or 3c or 3d or 3e or 3f or 3g or 3h)))

ENGR4712 has been successfully completed

Students undertaking the one year honours programs should check to make sure they have the appropriate background from their undergraduate degrees.

Applications of Mobile Robots
General Control schemes for Mobile Robots
Navigation sensors, challenge of sensor noise
Vision and Sonar based Perception, pose estimation
Mobile robot localisation, belief representation, probabilistic map-based localisation and autonomous map building
Path planning, Collision avoidance

Smart instrumentation systems are increasingly being deployed on autonomous (robotic) platforms where the robot is required to collect, process, analyse, and interpret sensory information without the intervention of a human operator. Typical examples include unmanned aerial, underwater, and terrain vehicles; marine probes; robotic surgical devices; automated biotissue diagnostic systems; etc.

This topic is designed to acquaint the student with the principles of designing robotic systems, and implementing the sensing capability and artificial intelligence (multiagent systems) necessary to allow the robot to behave autonomously using human like reasoning.

On completion of this topic you will be expected to be able to:

Have acquired experience in designing robotic systems

Select appropriate microcontrollers, sensors, and actuators for construction of the robots according to specific requirements/considerations

Program a robot to perform specific tasks

Understand the theory and practical use of various approaches for implementing artificial intelligence in mobile robotic systems

Develop strategies for linking multiple mobile robot systems so as to enable them to work collaboratively

Design a mobile robot that can navigate and select appropriate routes autonomously

Identify appropriate all-encompassing design solutions for given requirements

Commence further industry / academic training in research and development in the field of computer architecture and other related disciplines

Work independently and also as a member of a project team

Key dates and timetable

Timetable details for 2021 are no longer published.

This information is from current details held on the Student Information System. Please report any errors or omissions to the relevant College Office.