Robotic Systems Engineering (RoboSys)

Shape the future with robotics technology and design, implement and programme new intelligent robotic solutions for industrial applications! The MSc Robotic Systems Engineering (MSc RoboSys) focuses on the integration of Artificial Intelligence into robotics engineering to improve human-robot collaboration in industry and society alike. Using robotic solutions in production processes is on the rise, not only to increase productivity but also to create high-quality, safe and affordable products. The demand for intelligent robots that cooperate and interact with humans, such as autonomous mobile robots (AMRs) and cobots, is growing rapidly. The MSc RoboSys addresses this development and integrates current technological innovations and trends into the curriculum, preparing you to be at the forefront of robotics technology. Your studies – your choice: choose a study track To equip you with the specialisation you need for your individual career path, we offer three exclusive study tracks in the MSc RoboSys. They reflect current trends in robotic engineering and are designed to help meet the high demand for qualified engineers for innovative and modern robotics design, development and applications. Development & Design Choosing this study track, you will: gain in-depth understanding of the development and design of robots and robotic systems learn to design, implement, apply and evaluate complex robot systems including sensor technology and control structures acquire knowledge and skills for condition monitoring of robotic systems, for individual service life forecasts or for operational optimisation Data & AI Choosing this study track, you will: gain in-depth understanding of the concepts, algorithms and applications of robotics, data learn to design, implement, apply and evaluate complex robotic systems and artificial intelligence algorithms understand and apply artificial intelligence technologies Autonomous & Sensor-Based Systems Choosing this study track, you will: focus on aspects of sensor-based planning and control for robotic systems concentrate on the applications of technical robotic systems that are characterised by different sensory perception and actuator-based physical interaction capabilities deepen your understanding of autonomous sensor technology, machine learning, decision-making and AI-driven control systems