My research interests revolve around fixed-wing Unmanned Aerial Vehicles. Primarily, I use structural analysis methods for use in real-time health monitoring systems. I have also delved into the development of air data systems and the construction of relevant hardware. I love doing integration work in prototype aerial platforms, be it sensor installation, computation unit embedding or software programming. Finally, I am also interested in detailed simulation of aerial robotic systems and have created a unified UAV software prototyping suite under the ROS environment.
Email: gzogop AT mail.ntua.gr
Office: Dept. of Mechanical Engineering, Building M, Ground Floor
Website: www.controlsystemslab.gr/main/members/zogopoulos, https://github.com/Georacer
Zogopoulos Papaliakos, G., & Kyriakopoulos, K. J. (2016). On the selection of calculable residual generators for UAV fault diagnosis. In MED’16: The 24th Mediterranean Conference on Control and Automation. IEEE. http://doi.org/10.1109/MED.2016.7536003 (PDF)
Zogopoulos-Papaliakos, G., & Kyriakopoulos, K. J. (2017). Generating Semi-Explicit DAEs with Structural Index 1 for Fault Diagnosis Using Structural Analysis. In 2017 IEEE International Conference on Robotics and Automation (ICRA). ΙΕΕΕ. (PDF)
Vaiopoulos, P., Zogopoulos-Papaliakos, G., & Kyriakopoulos, K. J. (2018). On-line Aerodynamic Model Identification on Small Fixed-Wing UAVs with Uncertain Flight Data. In 2018 IEEE International Conference on Robotics and Automation (ICRA). ΙΕΕΕ. (PDF)