Ziya Ipekkan

Papers

Total Citations

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About

Ziya Ipekkan is a researcher whose work lies at the intersection of artificial intelligence, robotics, and real-time decision-making. His most notable contribution is the development of the "Real-Time Edge Follow" algorithm, a novel paradigm for real-time path search introduced in his 2001 paper. This work directly addresses the critical challenge of mission planning and pathfinding in dynamic, large-scale environments—a problem central to domains like military mission planning, robotics, and computer-generated forces. By enabling agents to navigate complex landscapes efficiently without precomputed global maps, Ipekkan’s algorithm has influenced subsequent research in real-time heuristic search. With 11 citations, this seminal paper demonstrates a focused, high-impact contribution to the field. Ipekkan’s work is particularly valuable for students and researchers tackling real-time planning under uncertainty, offering a foundational approach that balances computational speed with solution quality. His research continues to inform the design of autonomous systems that must make rapid, intelligent decisions in unpredictable settings.