Broadly speaking, my research interests are in the overlapping areas of cognitive science and artificial intelligence. I think that computational approaches are inevitable for explaining the mechanisms of learning and information processing that underlie cognition. I have always been a strong proponent of (bio-inspired) artificial neural networks as a preferred computational paradigm. I have worked with various models and applied them across domains, mainly language acquisition, and recently I became interested in cognitive robotics. In our work, we focus on modeling cognitive development of a situated embodied agent. I think that developmental cognitive robotics provides an ideal approach that allows to put together various building blocks in a quasi-autonomous agent, with an emphasis on learning.
We complement the computational simulations with the robotic hardware (robotic arm and a stereo vision system) that allows to investigate the above tasks in the physical (simplified) world. In addition, we started the related experimental work focusing on motor cognition using the EEG measurement system, and its use in brain-computer interfacing.
I am a senior researcher of the Cognition and Neural Computation Research Group.
I supervise master and bachelor students: see the list of defended theses
and of supervised projects by incoming students during the mobility semester.
My Google scholar profile