What are Control Systems and Robotics?
Automation and Robotics are interdisciplinary fields representing a synergy of electrical engineering and computer science with a strong mathematical foundation and, as such, cover a wide range of theoretical and practical knowledge.
What do we learn at Control Engineering and Robotics?
Central study topics of our profile are robots and control systems - we learn how to mathematically model, design, and program them. Feedback information (what is the state of the process?) and controllers (how to act on the process to achieve the desired outcome?) are cornerstones of control systems. Examples of such systems can be found all around us – from basic room temperature control to control of autonomous robots using artificial intelligence or control of complex technical systems such as renewable energy sources.
By designing robotics and control systems for different technical processes, students will acquire the following skills:
- mathematical modeling, simulation, and optimization of robots and other technical systems,
- modeling and control of actuators,
- sensors modeling and data acquisition,
- inference about the state of the system by artificial intelligence methods,
- technologies and methods to develop autonomous systems,
- implementation of robotics and automation systems (embedded computers, PLC, ROS),
- application of knowledge to autonomous systems, smart buildings, and industrial production processes.
Because of the broad knowledge they gain during their studies, our students thrive in the job market. The emphasis in teaching is set on the development of analytical thinking skills and solving complex problems, which enable the fast advancement of our former students in their work teams.
Jobs range from a development engineer for robotic systems or automation systems to leading roles responsible for controlling complex technical and non-technical systems.