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Ákos Márk Bokor

Developer
Email
@email
Phone
+3612796134
Address
H-1111 Budapest, Kende u. 13-17.
Room number
K 223

Introduction

Ákos Márk Bokor is a student of the Autonomous Vehicle Control Engineering MSc program at the Budapest University of Technology and Economics; he obtained his BSc degree in Vehicle Engineering. During his studies, he developed a strong commitment to control theory and autonomous systems, and he is currently an active member of the university's scientific research community.

His research and development interests focus primarily on advanced control methods and applications of artificial intelligence, with particular emphasis on robust model predictive control (MPC) and hybrid machine learning approaches. In his current work, he deals with control tasks for autonomous vehicles and aerospace systems, where the integration of modern control principles and real-time implementation plays a key role. His goal, as a colleague at HUN-REN SZTAKI, is to work on innovative solutions that bring academic research closer to industrial practice to foster the development of future autonomous systems.

Publication Databases

ResearchGate

MTMT

Google Scholar

ORCID

Results

  • 1st Place: Robust Model Predictive Control for Spacecraft Rendezvous (Scientific Student Conference – TDK 2025)
  • 1st Place: Model-based approximation of passenger comfort metrics and integration into model predictive control.
  • 1st Place: Investigation of hybrid machine learning and model-based predictive control approaches for vehicle control (Scientific Student Conference – TDK 2024)
  • 3rd Place: Route Planning and Control Integrated in Robot Operating System and Matlab Environment (Scientific Student Conference – TDK 2023)

Publications

  • Bokor, Á. M., Biertümpfel, F., Seiler, P., & Tóth, R. (2025). Robust Model Predictive Control for Spacecraft Rendezvous Under Sector-Bounded Nonlinearities. IEEE Control Systems Letters.
  • Bokor, Á. M., Szabó, Á., Aradi, S., & Palkovics, L. (2024). Comparison of Lateral Controllers for Autonomous Vehicles Based on Passenger Comfort Optimization. Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO).
  • Bokor, Á., Szabó, Á., Aradi, S., & Palkovics, L. (2024). Design of Gain-Scheduled Lateral Controllers for Autonomous Vehicles. Engineering Proceedings, 79(1), 38.

Important publications