ENGN6627
Robotics
- Credit
- 6 units
- Catalogue year
- 2027
- Recorded offerings
- First Semester, Second Semester
Course information
This course provides an introduction to modern robotics. The focus is on robot kinematics, sensing techniques, localization, and mapping. Topics to be covered include robot spatial configuration, homogeneous coordinate transformation, mobile robot locomotion, mobile robot kinematics, robot motion control, sensors and perception, robot localization, simultaneous localization and mapping SLAM, robotic system architecture.The applied component of the course includes experimental work with a programmable mobile robotic platform equipped with sensors. This applied component is aimed at integrating sensor measurements to build a representation of the environment and perform a robotic task.
Requisite and Incompatibility
To enrol in this course you must be studying Master of Engineering in Electrical Engineering or Master of Machine Learning and Computer Vision. Incompatible with ENGN4627.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Discuss the history, concepts and key components of robotics technologies.
Describe and compare various robot sensors and their perception principles that enable a robot to analyse their environment, reason and take appropriate actions toward the given goal.
Analyse and solve problems in spatial coordinate representation and spatial transformation, robot locomotion, kinematics, motion control, and localization and mapping.
Apply and demonstrate the learned knowledge and skills in practical robotics applications.
Critically appraise current research literature and conduct experiments with state of the art robotic algorithms on a robotic platform.
Effectively communicate engineering concepts and design decisions using a range of media.
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