Guo‐Feng Zhang

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About

Guo-Feng Zhang is a researcher specializing in autonomous navigation and path planning for unmanned aerial vehicles (UAVs) and robotics. His work focuses on developing high-precision, reliable algorithms that enable UAVs and robots to navigate complex environments while avoiding obstacles and threats. Zhang’s most notable contribution is the "Route planning of mixed ant colony algorithm based on Dubins path" (2021), which integrates ant colony optimization with Dubins curves to produce smoother, more efficient trajectories for autonomous systems. This approach addresses critical challenges in real-world deployment, such as minimizing path length and ensuring kinematic feasibility. With 5 citations, this paper has already influenced ongoing research in swarm robotics and UAV mission planning. Zhang’s work is particularly relevant to students and researchers in robotics, control systems, and artificial intelligence, offering practical solutions for autonomous navigation in dynamic environments. His contributions underscore the growing importance of bio-inspired algorithms in solving complex routing problems, positioning him as a rising figure in the field of autonomous systems.