Berk Yilmaz
Papers
1
Total Citations
4
H-Index
1
About
Berk Yilmaz is a robotics researcher whose work focuses on the intersection of control theory, geometric methods, and autonomous systems. His most-cited paper, "A Model-Free Algorithm of Moving Ball Interception by Holonomic Robot Using Geometric Approach" (2019, 4 citations), introduces a novel, computationally efficient strategy for real-time object interception that bypasses traditional dynamic modeling. This contribution is particularly significant for applications in robotic sports, industrial automation, and agile mobile robotics, where rapid, model-free decision-making is critical. Yilmaz’s approach leverages geometric reasoning to enable holonomic robots to predict and intercept moving targets with minimal sensor data, offering a robust alternative to complex predictive controllers. While his citation count is modest, the work demonstrates a clear, practical impact in the field of motion planning and reactive control. His research is especially valuable for students and engineers seeking accessible, implementable solutions for dynamic environments, and it lays a foundation for further exploration into low-latency, model-free robotic behaviors.
Research Focus
Key Achievements
Top Papers
- 1