Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules. - 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation. - 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
- instruction
- documentation
- examination
Mobile robots are complex mechatronic systems often interacting autonomously with their environment. The course combines theoretical foundations for coordinate transformations, sensor fusion, planning and control with examples in ROS. Tests of these complex systems can be conducted in simulated environments to speed up development and minimize risk of damage. Data from live tests can be recorded for later reuse and analysis as a foundation for further development.
Prerequisites
- Linear algebra
- General affinity to mathematics
- Basic feedback control systems
- Basic programming skills
Learning Objectives
This course aims at giving students a deep insight into and theoretical understanding of the inner workings of autonomous mobile systems reinforced by hands-on experience of mobile robots or simulations thereof. At the end of this course students will be able to build mobile robots with autonomous behaviour.
Contents of Module
Mathematical foundations (short primer)
Coordinate transformations, quaternions
Mobile robot platforms in different environments: air, land, sea
Wheeled robots, drones, submarines, …
Kinematics
Typical sensors
Control
Real-time systems
Localization
Odometry
GPS
Sensor fusion
Mapping
SLAM
Closing the loop
Navigation
Planning
Obstacle avoidance
Trajectory follower
Advanced Topics
Real-time systems & Robot operating system frameworks
Multi-robot systems
Modelling and simplification (Simulation & Design)
Dynamics of mobile robot platforms
Teaching and Learning Methods
Ex-cathedra teaching
Case studies
The theory learned in class is applied in exercises
Literature
Siegwart, R. et al. "Introduction to Autonomous Mobile Robots", 2011, 2nd edition, MIT Press.
ISBN 978-0262015356
Download full module description
Back