The research areas of the research group for intelligent systems and robotics are artificial intelligence, robotics and process automation.
One research focus of this group is machine perception or computer vision with application in robotics. We develop object recognition systems for robot manipulation (pick-and-place tasks, processing, and other operations) and systems for indoor navigation of mobile robots. We develop methods that process the output of cameras and 3D sensors, such as RGB-D cameras and LiDAR. We investigate the application of artificial intelligence to autonomous driving, focusing on the development of object detectors based on deep neural networks.
The second research area focuses on improving process monitoring and control systems by introducing artificial intelligence based on learning from measurement data. This research includes building mathematical models of processes based on process data for estimating process values, fault detection and localisation, and implementing soft sensors and fault-tolerant systems. We also develop adaptive models and continuous learning algorithms based on operational data continuously collected in the process database so that these intelligent monitoring and control systems can adapt to changes in the process and provide optimal control.
The research group for intelligent systems and robotics conducts both basic research and the development of solutions that have the potential to be widely applied in industry, agriculture, autonomous vehicles, healthcare, and other areas.
