Fire Hawk Optimization Algorithm Enhances Directional Perception in Humanoid Robots for Biomimetic Homing

A study has applied the Fire Hawk Optimization (FHO) algorithm to enhance directional perception in humanoid robots, mimicking the lock-on logic of raptors during hunting. The FHO algorithm, inspired by fire hawks' use of controlled burns to flush out prey, is a population-based metaheuristic. FHO operates by simulating hawks' behaviors—spreading fire and swooping—to iteratively refine candidate solutions.