Max Robotics — Global Service Robot Directory + US Certification

About

Ertug Olcay is a researcher focused on the frontiers of swarm robotics and multi-agent systems, with a particular emphasis on collective navigation and control. His work addresses fundamental challenges in coordinating large groups of autonomous agents, drawing inspiration from natural flocking behaviors to solve complex engineering problems. Olcay’s most impactful contribution, "Collective navigation of a multi-robot system in an unknown environment" (2020), has garnered 63 citations, establishing his reputation in the field. He has made significant strides in developing leader-agent guidance systems, as detailed in his 2019 study on optimal control of swarming systems, which has applications ranging from robotics to human crowd management. Olcay has also advanced obstacle avoidance algorithms through information-driven approaches and extended classical flocking models like the Cucker-Dong system with virtual leaders and reactive control laws. His work on sensor-based exploration with multiple mobile agents further demonstrates his commitment to practical, real-world applications. With a consistent focus on enabling robots to navigate and explore unknown environments cooperatively, Olcay’s research is foundational for the next generation of autonomous, decentralized robotic systems.