Intelligent Systems

The objective in this research area is to develop smart components or autonomous systems. Classical artificial intelligence topics like, mathematical logics, approximate reasoning or distributed planning are combined with computational intelligence to hybrid techniques. Past projects in this area aimed at developing smart mechatronic devices, like autonomous robotic vision or re-configurable devices, as well as robotic software, like embodied and emergent cognitive architectures or generating ontologies from statistical sensory data with fuzzy syllogistic reasoning.

Our research concentrates on following topics.

  • Distributed Intelligent Virtual Environments (DIVE) Laboratory, directed by Assist. Prof. Bora Kumova
    • Smart Mechatronic Devices
    • Statistical Ontologies
    • Autonomous Robotic Vision
    • Emergent Cognitive Architectures