The students know the meaning of mobile robotics. They are able to apply mathematical descriptions and physical methods to model mobile robots. They know common sensors and are able to understand and implement path integration, probabilistic localization methods and path planning. Students are able to work with behavioural models for the navigation (position, orientation) and path planning of autonomous mobile robot platforms and they master the basic methodological and algorithmic ideas.
They know about common operating systems in mobile robotics (ROS).
They are able to solve a robotics design task with the learned methods in the context of a project.

Control Engineering 1, Control Engineering 2, Robotics

Types and importance of mobile robots
mapping
Control of mobile robots
Navigation (localization) and path planning
ROS

R. Siegwart, I. Nourbakhsh, D. Scaramuzza, Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents) 2.Auflage, MIT Press, 2011
M. Quigley, B. Gerkey, W. Smart, Programming Robots with ROS: A Practical Introduction to the Robot Operating System, O'Reilly Media, 2015

Lecture with integrated exercises,
ROS exercise

Exercises, project work or final exam