Konstantinos Blekas
Papers
4
Total Citations
20
H-Index
3
About
Konstantinos Blekas is a researcher at the University of Ioannina’s Department of Computer Science and Engineering, whose work sits at the intersection of robotics, reinforcement learning, and autonomous marine systems. His research focuses on developing intelligent navigation and motion planning algorithms for a range of robotic platforms, from low-cost unmanned surface vehicles (USVs) to mini-robots driven by inertial forces. A key contribution is his work on making autonomous marine technology more accessible: his 2024 paper on a low-cost USV, built for under €1000, demonstrates how to lower the barrier to entry for customisable vessel construction. Blekas has also advanced the use of reinforcement learning for multi-agent systems, as seen in his 2020 study on collaborative multi-robot navigation, and for energy-efficient motion planning under real-world disturbances. His 2018 paper on an over-actuated floating platform uses an online least-squares policy iteration scheme to handle measurement noise and environmental challenges. With over 20 citations across his most influential works, Blekas is making a tangible impact on practical, cost-effective, and intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
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