Researcher and developer in fields of computer vision and image processing.
Research fellow at MTA SZTAKI. Machine Perception Research Laboratory I obtained a PhD at Chuo University in Tokyo, researching navigation methods for space exploration rovers. Human Machine System Laboratory


  • SZTAKI, Budapest 2020-
    Machine Perception Research Laboratory
  • Chuo University, Tokyo 2017-2020
    Electrical, Electronic, and Communication Engineering PhD
    Space robotics, image processing
  • Robit Inc., Tokyo 2016-2020
    Mechatronics Engineer
    Circuit design, CAD/CAM, Rapid prototyping
  • Gakugei University, Tokyo 2016
    Japanese Government (MEXT) Scholarship
    Language training
  • Thyssenkrupp Presta, Budapest 2015-2016
    Test Engineer
    Vehicle steering system testing, test procedure development
  • BOSCH, Budapest 2014
    Test Engineer intern
    Engineering Electronic Control Units (EEC), Mechatronic projects
  • Universitat Politècnica de Catalunya, Barcelona 2014
    Erasmus programme
    School of Industrial and Aeronautical Engineering
  • Budapest University of Technology and Economics 2013-2015
    Mechatronics engineer MSc
    Department of Mechatronics, Optics and Engineering Informatics
  • NCT, Budapest 2012
    Mechatronics Engineer intern
    Assembly and testing of electric motors and CNC machines
  • Budapest University of Technology and Economics 2009-2013
    Mechatronics engineer BSc
    Department of Mechatronics, Optics and Engineering Informatics



  • C++
  • Python
  • OpenCV
  • LabVIEW


  • SolidWorks
  • Fusion 360


  • Hungarian (Native)
  • English (Fluent)
  • Japanese (Advanced)


G. Kovacs, Y. Kunii, T. Maeda, H. Hashimoto, "Trajectory estimation and position correction for hopping robot navigation using monocular camera" in Robomech J 7, 25 (2020).

Open in SpringerOpen

G. Kovacs, Y. Kunii, H. Hashimoto, ”Hopping Rover Navigation Method for Rugged Environments,” in Recent Innovations in Mechatronics, Vol 6, No 1., 2019

Open in UD publishing platform

G. Kovacs, Y. Kunii, T. Maeda, H. Hashimoto, "Saliency and spatial information-based landmark selection for mobile robot navigation in natural environments," in Advanced Robotics Volume 33, 2019 - Issue 10, pp. 520-535

Open in Taylor & Francis Online

G. Kovacs, H. Naoaki, Y. Kunii, "Robustness Improvement of Long Range Landmark Tracking for Mobile Robots," in 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2018, pp. 1196 - 1201

Open in IEEE Xplore Library

Y. Kunii, G. Kovacs, H. Naoaki, "Mobile Robot Navigation in Natural Environments Using Robust Object Tracking," in 2017 IEEE 26th International Symposium On Industrial Electronics (ISIE), 2017, pp. 1747-1752

Open in IEEE Xplore Library


The Kanji Map

This site was created to give a visual map of the connections between kanjis and to help Japanese learners study more efficiently.

View this project on github