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CS427

AUTONOMOUS MOBILE ROBOTICS

Credits
5
Year
4
Semester
2
Department
COMPUTER SCIENCE

Overview

In this course students will be introduced to the field of autonomous mobile robotics. The course syllabus will be drawn from the following topics: Wheeled Locomotion and Kinematics, Sensors and Perception, Localisation and Mapping, and Planning and Navigation.

Learning Outcomes

  • Model and analyse the mobile kinematics of a variety of wheel robotics platforms
  • Explain the role and importance of probabilistic methods in mobile robotics
  • Understand the sensing and perception systems and algorithms of a mobile robot
  • Describe how state estimation techniques can be used to estimate the state of a robotic system from sensor data
  • Formulate the tasks of robot localisation and SLAM within the recursive state estimation paradigm
  • Understand and explain how the above methods and techniques can be combined into an overall framework for mobile robot planning and navigation