Amadeusz Szymko
Papers
1
Total Citations
2
H-Index
1
About
Amadeusz Szymko is a roboticist advancing the frontier of deformable object manipulation, with a focus on bimanual systems and real-time model adaptation. His key research areas include robotic manipulation of deformable linear objects, calibrationless control, and adaptive filtering for dynamic environments. Szymko’s most cited work, "Calibrationless Bimanual Deformable Linear Object Manipulation With Recursive Least Squares Filter" (2024), introduces a novel framework that enables robots to manipulate flexible objects—such as cables or ropes—without prior calibration, using a recursive least squares filter to continuously update the object’s model during manipulation. This contribution addresses a critical challenge in robotics: the need for online adaptation when handling deformable materials whose properties shift mid-task. While his citation count is still growing, the work’s immediate relevance to manufacturing, surgical robotics, and household automation signals its potential for broad impact. Szymko’s approach stands out for its practicality, reducing setup time and enhancing robustness in unstructured settings. His research is particularly valuable for students and engineers seeking to bridge the gap between rigid-object manipulation and the more complex, real-world demands of deformable objects.
Research Focus
Key Achievements
Top Papers
- 1