Kadir Erkan
Papers
1
Total Citations
4
H-Index
1
About
Kadir Erkan is a researcher whose work bridges the gap between evolutionary computation and embedded systems, with a primary focus on mobile robotics and hardware acceleration. His most cited study, "A Hybrid Implementation of Genetic Algorithm for Path Planning of Mobile Robots on FPGA" (2012), demonstrates a novel approach to real-time navigation by implementing genetic algorithms directly on field-programmable gate arrays. This work addresses the computational bottlenecks of traditional path planning, enabling faster, more efficient decision-making for autonomous robots. By integrating software-based optimization with hardware-level execution, Erkan’s research contributes to the development of compact, low-power robotic systems suitable for dynamic environments. Though his citation count remains modest, his contributions are significant for researchers exploring the intersection of robotics, artificial intelligence, and reconfigurable computing. Erkan’s work exemplifies how hybrid architectures can unlock new capabilities in mobile robotics, offering a practical pathway toward more responsive and autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1