Gorkem Say
Papers
1
Total Citations
4
H-Index
1
About
Gorkem Say is a robotics researcher specializing in motion planning, control systems, and autonomous robot navigation, with a particular focus on holonomic and non-holonomic platforms. His most-cited work, "A Model-Free Algorithm of Moving Ball Interception by Holonomic Robot Using Geometric Approach" (2019), introduces a novel, computationally efficient method for real-time interception tasks without requiring dynamic models of the robot or the target. This geometric approach simplifies trajectory prediction and control, enabling robust performance in dynamic environments—a key contribution to reactive robotics and human-robot interaction scenarios. Though his citation count is modest, the work demonstrates practical innovation in sensor-driven, model-free control, which is increasingly relevant for agile robotics in sports, manufacturing, and service applications. Say’s research bridges theoretical geometry and practical implementation, offering accessible solutions for real-world robotic challenges. His contributions are particularly valuable for students and engineers seeking to understand how minimal computation can achieve reliable, high-speed interception in resource-constrained systems.
Research Focus
Key Achievements
Top Papers
- 1