Kang Xiao-feng

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About

Kang Xiao-feng is a leading researcher in the field of autonomous aerial delivery systems, with a primary focus on parafoil and payload trajectory control for disaster response applications. His work centers on developing robust guidance, navigation, and control algorithms that enable high-glide parafoils to autonomously home to precise landing points, even in challenging, interference-heavy environments. Kang’s major contributions include pioneering the application of Active Disturbance Rejection Control (ADRC) for parafoil trajectory tracking, as detailed in his most-cited paper (14 citations), which addresses the critical need for safe, steady delivery and penetration of debris fields. He further advanced the field by integrating ADRC with lateral track error methods and data expansion techniques to enhance controller robustness. Notably, Kang also introduced a Chaotic Particle Swarm Optimization algorithm for route planning, demonstrating innovative computational approaches to solve complex trajectory optimization problems. With a cumulative citation count exceeding 27 for his foundational works, Kang Xiao-feng’s research has significantly improved the landing precision and autonomy of air-dropped robotic systems, making him a key contributor to the development of reliable aerial delivery platforms for emergency and disaster scenarios.