H. Bora Karayaka
Papers
1
Total Citations
9
H-Index
1
About
Dr. H. Bora Karayaka is a researcher whose work lies at the intersection of swarm intelligence, robotics, and optimization under uncertainty. His most cited paper, "Simulating micro-robots to find a point of interest under noise and with limited communication using Particle Swarm Optimization" (2017, 9 citations), tackles a fundamental challenge in distributed robotics: how a swarm of micro-robots can collaboratively locate a target in a noisy, communication-constrained environment. By applying Particle Swarm Optimization (PSO) as a decentralized search algorithm, Karayaka demonstrates how simple agents can efficiently explore a 2D space guided only by a fitness function—a critical insight for real-world applications like search-and-rescue or environmental monitoring. This work bridges theoretical optimization with practical robotics, showing that even with limited sensing and communication, swarms can achieve robust collective intelligence. While his citation count reflects a focused, emerging impact, Karayaka’s contributions are notable for their emphasis on realistic constraints (noise, limited communication) that often plague deployed systems. His research is especially valuable for students and engineers interested in bio-inspired algorithms, multi-agent systems, and the challenges of scaling swarm robotics from simulation to reality.
Research Focus
Key Achievements
Top Papers
- 1