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About

Faruk Polat is a leading researcher in artificial intelligence and multi-agent systems, with a primary focus on path planning and multi-agent coordination. His most significant contribution is the development of MOD* Lite, an incremental path planning algorithm that addresses the critical limitation of traditional single-objective approaches by simultaneously optimizing multiple objectives. This work, with 68 citations, has become a foundational reference for applications in robotics, virtual simulations, and computer games. Polat also pioneered the "Real-Time Edge Follow" paradigm, a novel real-time path search algorithm designed for large-scale landscapes in domains like war games and military mission planning. His recent work tackles complex industry-inspired challenges, including the lifelong multi-agent pathfinding (MAPF) problem with multiple delivery locations and capacitated agents for pickup and delivery tasks. Through these contributions, Polat has advanced the state of the art in enabling autonomous agents to navigate dynamic, unknown environments efficiently, making his research highly relevant for students and practitioners working on real-world robotic and simulation systems.