- Code ENGN4627
- Unit Value 6 units
- Offered by RS Electrical, Energy and Materials Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
- Academic career UGRD
- Prof Robert Mahony
- Mode of delivery In Person
- Co-taught Course
Second Semester 2020
See Future Offerings
This course provides an introduction to modern robotics. The focus is on robot kinematics, sensing techniques, localization, navigation, mapping and planning. Topics to be covered include robot spatial configuration, homogeneous coordinate transformation, mobile robot locomotion, mobile robot kinematics, robot motion control, sensors and perception, navigation and path planning, 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. The project aims at integrating sensor measurements to build a representation of the environment and perform a robotic task.
Upon successful completion, students will have the knowledge and skills to:On successful completion of this course, students should have the skills and knowledge 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, localization and mapping, navigation and path planning.
- Apply and demonstrate the learned knowledge and skills in practical robotics applications.
- Plan, design and implement robotic systems, algorithms and software capable of operating in complex and interactive environments.
- Effectively communicate engineering concepts and design decisions using a range of media.
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Practical Labs (40%);
- Final Project (30%);
- Final Exam (30%)
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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Workload3 x 1 hour lecture. 1 hour tutorial, 3 hours lab time, 2 hours independent study time - per week
Requisite and Incompatibility
to Autonomous Mobile Robots, second edition, By Roland Siegwart et al,
MIT Press, 2011.
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7410||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||N/A|