Understanding the foundation of robotics is essential for building complete knowledge of artificial systems. Intelligence appears when a physical life-form is interacting with the environment and it can only be observed in an interactive process. Artificial systems cannot be fully understood by simulating them, because generalization from real embodied systems to simulated systems leads always to an oversimplification of the real world and its challenges.
Upon completion of the robotics course, students should have learned about the different classes of robots, their application areas and their varying concepts of programming and problem solving strategies. The learned theoretical skills will be applied to hands-on examples and exercises in the robotic laboratory, both helpful for the full understanding of the concepts and for inspiring students&39; own ideas and further research.