Shuyi Shao

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

H-Index

About

Shuyi Shao is an emerging researcher whose work bridges nonlinear dynamics, fractional-order systems, and intelligent control for autonomous robotics. Her most cited paper, "Fractional-order control for a novel chaotic system without equilibrium" (2016, 12 citations), introduces a groundbreaking chaotic system derived from a two-wheeled self-balancing robot—a system that exhibits chaos despite having no equilibrium points. This contribution is significant for advancing the understanding of chaos theory in non-equilibrium systems and for demonstrating the effectiveness of fractional-order control in stabilizing such complex dynamics. More recently, Shao has ventured into autonomous aerial robotics, as seen in her 2025 paper on "Dynamic Siting and Coordinated Routing for UAV Inspection via Hierarchical Reinforcement Learning" (2 citations). This work tackles the practical challenge of optimizing UAV inspection missions by dynamically positioning landing sites and routing drones, using a novel hierarchical reinforcement learning framework to enhance efficiency and reduce operational costs. Though early in her career, Shao’s research demonstrates a clear trajectory from foundational chaos theory to applied intelligent systems, marking her as a versatile and forward-thinking contributor to control engineering and robotics.