Hasan Derhamy
Papers
1
Total Citations
10
H-Index
1
About
Hasan Derhamy is a researcher whose work lies at the intersection of swarm robotics, computer vision, and sensor fusion. His primary research focuses on solving the fundamental challenge of relative localization in multi-robot systems—enabling autonomous agents to determine the positions of their neighbors without relying on external infrastructure. In his most cited work, "Relative localization with computer vision and UWB range for flying robot formation control" (2016, 10 citations), Derhamy developed a hybrid system that combines computer vision with ultra-wideband (UWB) ranging to achieve precise relative positioning between a stationary marker and a flying robot. This contribution is critical for advancing formation control in aerial swarms, where accurate, decentralized localization is essential for cooperative tasks. By integrating low-cost sensors with robust algorithms, his work offers a practical pathway toward scalable swarm operations. Derhamy’s research continues to influence the design of autonomous systems that operate in GPS-denied environments, making his contributions valuable for both academic researchers and engineers developing real-world drone swarms.
Research Focus
Key Achievements
Top Papers
- 1