Faculty and research in Systems, Control and Robotics
The programme in System, Control and Robotics is given by the School of Electrical Engineering and Computer Science at KTH. The field of Electrical and Electronic Engineering at KTH is currently ranked 23rd in the world by QS (23rd in 2022, 18th in 2021, 17th in 2020). The area of Automation and Control at KTH is ranked 23rd (23rd in 2022, 20th in 2021) in the world by Academic Ranking of World Universities (ARWU), also known as the Shanghai Ranking. Most courses in the programme are taught by the Division of Decision and Control Systems and the Division of Robotics, Perception and Learning (RPL).
The research projects at the Division of Decision and Control Systems focus on modelling, identification and control of industrial systems and applications in communication, autonomous systems, and system biology.
At the Division of Robotics, Perception and Learning, the research projects focus on topics such as mobile robotics, robotic manipulation and grasping, machine learning, computer vision, mapping and scene understanding, artificial intelligence, robotic planning, robotic control and decision making.
Professors involved in the programme
Research at the Department of Robotics, Perception and Learning
While there are plenty of robots inside our lab, none is quite like Rosie, who mingles freely with people in the lab’s offices, hallways and kitchen. Built by MetraLabs Robotics, the Scitos G5 model robot is the centerpiece of an international project to create intelligent robots for human environments.
The Smart Mobility Lab
In the Smart Mobility Lab researchers and students develop and test intelligent transportation solutions in simulated traffic situations with remote-controlled model cars. By connecting vehicles with each other and the surrounding traffic system, the research aims at making transportation more energy-efficient and secure. This means for example that trucks can save fuel by decreasing air resistance through platooning or use GPS data to enable goods traffic to take the shortest route to the destination.