Our group conducts basic research on cognitive and cybernetic vision systems to automate processes. We develop models for visual information processing and supervised and self-supervised machine learning algorithms that train the models on temporal, continuous, scarce, clean, and noisy data. Our work is firmly grounded in applications. The lab focuses on transferring the developed technologies to innovative single and multi-camera systems, aided by additional modalities, actuators, and efficient cloud and edge computing.
