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School of Engineering · ANU College of Systems and Society
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.
Practical Labs
Learning outcomes 1, 4, 5, 6
Assignments
Learning outcomes 1, 2, 3, 6
Final Exam
Learning outcomes 1, 2, 3, 6
Approximately 10 hours per week is expected with a total of 130 hours for the entire course. The workload covers the learning activities of lecture content, practical labs, and assignments, as well as adequate self-study and completion of assessments. Other Information Professional Skills Mapping: Mapping of Learning Outcomes to Assessment and Professional Competencies
None. Preliminary Reading R. Siegwart, Introduction to Autonomous Mobile Robots, 2nd Edition, MIT Press, 2011. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, 2005.