Papers
1
Total Citations
2
H-Index
1
About
Filip Dyba is a researcher focused on the mathematical foundations of robotic motion, particularly in the domain of path following and manipulator control. His work centers on the application of curvilinear parametrizations—such as the Serret-Frenet and Bishop frames—to derive manipulator equations relative to a desired path. In his most-cited paper, "Comparison of Curvilinear Parametrization Methods and Avoidance of Orthogonal Singularities in the Path Following Task" (2024), Dyba addresses a critical challenge in robotics: how to model and avoid singularities that arise from orthogonal parametrizations during path tracking. By comparing these geometric frameworks, he provides a clearer mathematical model for the path following task, enabling more robust and singularity-free control of robotic manipulators. Though early in his career, with this work already garnering 2 citations, Dyba’s contributions are foundational for researchers tackling nonlinear control and geometric mechanics in robotics. His insights are particularly valuable for students and engineers developing autonomous systems that require precise trajectory execution, marking him as a promising voice in the intersection of differential geometry and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1