Cagatay Undeger

Papers

Total Citations

H-Index

About

Dr. Cagatay Undeger’s research focuses on real-time path planning, artificial intelligence for simulation, and decision-making in complex environments. His most influential work introduces the “Real-Time Edge Follow” paradigm, a novel approach to real-time path search that addresses critical challenges in mission planning for domains like war games, robotics, and computer-generated forces. This algorithm enables agents to navigate large landscapes efficiently, balancing computational constraints with mission objectives. Although his seminal 2001 paper has garnered 11 citations, its conceptual impact extends beyond raw numbers, laying groundwork for adaptive, real-time navigation in dynamic simulations. Dr. Undeger’s contributions are particularly notable for bridging theoretical pathfinding with practical, real-world applications in military and robotic systems. His work remains a reference for researchers tackling real-time decision-making under uncertainty, demonstrating how elegant algorithmic design can solve complex operational problems. For students and researchers, his research exemplifies the challenge of balancing optimality with speed in AI-driven planning.