Artificial Intelligence for Robotics & Autonomous Systems

Learning Results

Upon successfully completing this course, student will be able to:

• Understand, design and critically appraise navigation, guidance and communication for autonomous systems
• Implement navigation, guidance and communication for autonomous systems.
• Implement filters in order to localize moving objects whose locations are subject to noise.
• Implement search algorithms to plan the shortest path from one point to another subject to costs on different types of movement.
• Implement controls to smoothly correct an autonomous robot.

Skills acquired

• Work individually and in teams
• Advance free, creative and causative thinking
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies

• Introduction to autonomous mobile systems
• Locomotion
• Mobile robot kinematics
• Perception
• Mobile robot localization
• Planning and navigation

1. J. Craig, Introduction to Robotics: Mechanics and Control, 4th edition, Pearson, 2018.
2. M. Mataric, The Robotics Primer (Intelligent Robotics and Autonomous Agents series), MIT Press, 2007.
3. B. Siciliano, L. Sciavicco, L. Villani, G. Oriolo, Robotics: Modelling, Planning and Control, Springer-Verlag London 2009.
4. H. Asada, J. Slotine, Robot analysis and Control, John Wiley & Sons, 1986.
5. R. Siegwart, I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press, 2004.