CHAIR OF

COMPUTATIONAL

INTELLIGENCE

• Christoph Steup
• Sanaz Mostaghim

Language: 

The course will be held in English or German depending on the participant's preferred language.

Participants:

All students of bachelor and master curriculums of the faculty are eligible to attend the course. The course can be taken as Digital Engineering Project, Inter-Disciplinary Project or Team-Project. The actual type of course depends on the needs of the students and the available Topics. It is mandatory for a participant to have background knowledge in at least one of the following topics:

• Robotics
• Programming in C/C++ or Python
• Theory and Algorithms of Swarm Intelligence
• Communications and Networks
• Development of Embedded Applications  in C
• Robot Operating System (ROS)
• Linux Server Administration

How to Enter: 

Please write an E-Mail to the responsible teacher and declare your interest in a topic. The teacher will organize individual meetings with the interested students.

Organization:

The course will be taken in groups of 3-5 Students per topic. The students and the groups will be chosen by us depending on your background. The individual topics are not fully fixed, extensions and modifications are possible depending on the skills and interest of participating students. This will be discussed in the first meeting. The result of each project is a working demonstration with commented source code and a written documentation indicating the general concept and a How-to to start the demo.

Available Topics:

DE-Project / Team project: Extending the Autonomous Driving Capabilities of an EasyMile Shuttle

in Cooperation with ifak e.V.

Participants may either choose this topic as DE-Project, Interdisciplinary Team Project or Scientific Team Project in Bachelor or Master Studies at the FIN.

The participants will start working on an Easy Mile Shuttle, which is situated at the ifak e.V. in the Science Harbor of Magdeburg. The goal is to evaluate the current state of autonomous driving using ROS on this mobile platform. The platform already provides multiple sensors and actors. During the project, the participants will extend the current autonomous driving capabilities of the platform with new configurations or new algorithms from ROS 1/2.

Responsible Teacher: Christoph Steup

Additional Topics: on request