Max Robotics — Global Service Robot Directory + US Certification

About

Kun Hao is a leading researcher in mobile robotics, specializing in intelligent path planning and optimization algorithms for complex environments. His work addresses fundamental challenges in autonomous navigation, including premature convergence, poor path quality, and environmental insensitivity. Hao’s most influential contribution, the multi-population migration genetic algorithm (2020), has garnered 73 citations for its breakthrough in maintaining population diversity and escaping local optima. He further advanced the field with an adaptive genetic algorithm incorporating collision detection (2021, 47 citations), which significantly reduces iterations needed for convergence. In response to complex environments, Hao developed CERRT (2023, 24 citations), a novel rapidly-exploring random tree variant that enhances environmental sensitivity and path quality. His improved ant colony algorithm (2023, 12 citations) tackles dynamic and unknown environments, addressing long-standing limitations in convergence time and global path quality. Collectively, Hao’s algorithms have been cited over 156 times, establishing him as a key innovator in mobile robot navigation. His work directly enables safer, more efficient autonomous systems for applications ranging from warehouse logistics to search-and-rescue operations.