Marcel Dzubba
Papers
3
Total Citations
10
H-Index
2
About
Marcel Dzubba focuses on improving the positioning accuracy and path precision of industrial robots, particularly for high-demand applications like machining. His core research addresses the mechanical limitations that prevent large, cost-effective robots from achieving the accuracy needed for advanced manufacturing. Dzubba’s major contributions include developing a nonlinear elasticity model and feedforward compensation method that significantly boosts robot positioning accuracy through static calibration with a laser tracker. He has also pioneered the modeling of load-, velocity-, and temperature-dependent transmission errors in cycloidal drives using Fourier series, offering a comprehensive framework to understand and mitigate drive train inaccuracies. Additionally, Dzubba created a simple estimation algorithm for laser tracker localization, streamlining the calibration process. His work, with papers accumulating citations—including 7 for his 2025 elasticity model—demonstrates growing influence in robotics and manufacturing. By tackling real-world challenges like gearbox compliance and thermal effects, Dzubba’s research bridges the gap between industrial robot affordability and the precision required for tasks like milling and drilling, making his contributions vital for advancing automated production systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3