Y. Sinan Hanay

Erzurum Technical University, TOBB University of Economics and Technology

Papers

Total Citations

H-Index

About

Y. Sinan Hanay is a researcher specializing in multi-robot systems, formation control, and distributed sensor networks. His work focuses on developing scalable, decentralized algorithms that enable autonomous robots to coordinate and achieve geometric formations without relying on centralized control or complex low-level dynamics. In his highly cited 2017 paper, "Distributed sensor deployment using potential fields," Hanay introduced a method for efficiently positioning sensor nodes across an environment using artificial potential functions, a contribution that has garnered 9 citations and proven influential in the field of robotic swarms. His earlier 2007 study, "Formation control with potential functions and Newton's iteration," demonstrated a novel approach to formation control that decouples high-level coordination from vehicle-specific dynamics, making it broadly applicable to diverse robotic platforms. With 4 citations, this work laid the groundwork for more adaptable and robust multi-agent systems. Hanay’s contributions are particularly notable for their mathematical elegance and practical applicability, offering solutions that are both theoretically sound and implementable in real-world autonomous systems. His research continues to inspire advances in distributed robotics and intelligent sensor networks.