Papers
3
Total Citations
15
H-Index
2
About
Marek Stodola is a researcher whose work sits at the intersection of robotics, computer vision, and advanced geometric algebra. His primary research areas include binocular vision systems, robotic manipulator control, and the application of conformal geometric algebra to solve complex calibration problems. Stodola’s most significant contribution is the development of a self-calibration method for binocular vision systems, particularly for 6-DOF robotic manipulators. This work addresses a critical real-world challenge: when information about relative camera positions is lost, his method leverages the manipulator’s own construction to infer calibration parameters, offering a robust solution for autonomous systems. His paper on this topic has garnered 7 citations, reflecting its relevance to the field. Additionally, Stodola has explored dynamical control systems, studying nilpotent affine systems derived from a vertical rolling disc—a model for differential drive wheeled mobile robots. By calculating controllable Lie algebras and formulating optimal control problems, he has advanced understanding of motion planning and control. With a total of 15 citations across his most-cited works, Stodola is establishing himself as a thoughtful contributor to geometric methods in robotics, offering elegant mathematical solutions to practical engineering problems.
Research Focus
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Top Papers
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