Assist. Prof. Dr. Štefan Ondočko | Engineering | Best Researcher Award
Assistant professors, Technical University of Košice, Slovakia
Profile
Ing. Štefan Ondočko, PhD, is an Assistant Professor at the Technical University of Košice, specializing in mechanical engineering with a focus on production systems and robotics. His extensive experience spans both academia and industry, contributing to the advancement of robotic technologies.
Education 🎓
Štefan earned his degree in Mechanical Engineering from the Technical University of Košice (1996–2004), specializing in Instrumentation, Control, and Automation Technology. He later completed his PhD in Mechanical Engineering, focusing on Production Technology, in 2023.
Experience 💼
His professional journey includes roles as an Electrical Designer and I&C Engineer at EnergoControl s.r.o and SMZ Jelšava a.s., along with significant teaching responsibilities at the Technical University of Košice since 2019. Štefan currently focuses on applied research and development in robotic and production technologies.
Research Interests 🔬
Štefan’s research interests lie in the integration of robotics in production systems, particularly in modular robotics and automation technology. He actively engages in grant projects that advance educational tools and methodologies in these fields.
Awards 🏆
In 2023, Štefan received a diploma for the Best Contribution at the 20th International Scientific Conference of Engineering Doctorates of Technical Universities, highlighting his impactful work in mechanical engineering.
Publications Top Notes 📚
- Measurement of Maximum Deviation from Roundness Based on the Inverse Kinematics Principle
Link – 2019, Measurement Science Review, Year 19, Nr. 6. - Inverse Kinematics Data Adaptation to Non-Standard Modular Robotic Arm Consisting of Unique Rotational Modules
Link – 2021, Applied Sciences, Year 11, Nr. 3. - Comparison of Selected Numerical Methods for the Calculation of Inverse Kinematics of Nonstandard Modular Robotic Arm Consisting of Unique Rotational Modules
Link – 2021, MM Science Journal, June. - Mapping Robot Singularities Through the Monte Carlo Method
Link – 2022, Applied Sciences, Year 12, Nr. 16. - Analysis of the Methodology for Experimental Measuring of the Performance Criteria of the Laser-Using Collaborative Robot’s Path Accuracy
Link – 2024, Applied Sciences, Year 14, Nr. 4.