Upon successful completion of the course students should have acquired the ability to master the presented methods safely in theory and practice. The students solve practical problems in the area of AI by themselves in a goal-oriented manner.
Professional competence
The students know about
Construction and handling of robotics systems
3D orientation (SLAM – self orientation and mapping)
Route Planning
Route optimization and general optimization procedures
Handling and testing of autonomous systems
Handling of hardware
Application of known libraries of machine perception
OpenCV
TensorFlow
Methodological competenceThe students - Discuss critical solution approaches and method selection - Deepen programming skills - Learn how to handle hardware systems
Social competence
The students
Develop the solutions independently in small groups
Evaluate their own solutions and compare them with those of your fellow students
