Hybrid agent architectures, biologically inspired systems
Modular agent architectures, hybrid & spiking neural networks, neural engineering, hierarchical problem decomposition, (behavioral and cognitive) robotics, evolutionary algorithms, Artificial Life and generally biologically inspired systems in common.
During my PhD study I modified the simulator of large-scale spiking neural networks Nengo
with capability of employing (SW or HW) ROS
modules in simulations. This resulted in the NengoROS simulator
My PhD topic deals with evolutionary design of hybrid agent architectures. More information can be found at webpage of Mobile Robotics Group
09/2011 - present PhD Study at CTU in Prague, FEE, Dept. of cybernetics, Artificial Intelligence and Biocybernetics (supervisor Doc. Ing. Nahodil Pavel CSc); PhD topic: "Towards Automated Design of Complex Modular Systems Inspired by Nature"
06/2011 - received Ing. degree at CTU in Prague, FEE, Open Informatics - Artificial Intelligence; DT topic: "An Artificial Creature Capable of Learning from Experience in order to Fulfill More Complex Tasks"
06/2009 - received Bc. degree at CTU in Prague, FEE, Cybernetics and Measurement; BT topic: "Cascade Evolutionary Algorithm"