The mission of the LARIS is to build integrated intelligent systems and contribute to theories of such systems.

We understand Intelligent Systems broadly; it includes traditional robotics, Artificial Intelligence, Machine Learning, Data Mining, Evolutionary Computation, Neural Nets and Fuzzy Logic, and other knowledge-intensive research areas. Sometimes, these areas go under titles of "Computational Intelligence'', "Intelligent Systems'' or "Soft Computing''.

Theoretical aspects of our research include developing and testing methodologies for machine learning based on various paradigms such as artificial neural networks, genetic algorithms, harmony search, evolution algorithms and reasoning by analogy.

We are also interested in practical aspects of building robots and applications of other research disciplines in robotics; for instance designing humanoid, mobile and service robots.

In addition to its role in integrating faculty research and graduate education, the laboratory serves teaching of several undergraduate classes, such as: Artificial Intelligence, Robotics, Human-Computer Interaction. It also serves teaching of various subjects at postgraduate studies. Finally the laboratory serves as a focal point for Macedonia high school students who are interested in practical robotics.