Our center covers a wide range of AI research and application domains. We currently work on over 30 projects supported by national, EU an US funding agencies as well as industry partners.
Our robotics labs perform fundamental and applied research at the intersections of artificial intelligence and autonomous robotic systems. We are seeking unique solutions to address real-world challenges to improve the quality of life and to understand principles emerging in nature.
We focus on the research of basic principles of classical planning and heuristics, but also on variants such as multi-agent planning and on the application of planning to real-world problems.
We apply advanced computational techniques to model and optimize complex, multi-modal transport systems. From the AI perspective, our approach is multidisciplinary and we routinely apply multiple AI techniques -- including machine learning, automated planning or operations research -- to tackle the smart mobility challenges at hand.
Machine Learning research in our center covers a number of topics and application domains. Right now, we mainly focus on the development of ML algorithms motivated by challenges in cybersecurity, automated journalism and NLP.
Game Theory is a formal framework for analyzing competitive situations to determine the optimal course of action for a self-interested agent. Computational game theory uses computational methods for modeling and solving game-theoretic problems.
Our security research consists of more than a dozen projects, each of them with the same goal: to help protect others through high-quality cybersecurity research.
Research on the intersection of mathematics, computer science, and electrical engineering with a clear mission: find the optimal solution using advanced computational methods.