Xuan Zhao

Papers

Total Citations

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About

Xuan Zhao is an emerging robotics researcher whose work sits at the intersection of legged locomotion, intelligent control systems, and agricultural automation. Zhao's most recognized contribution to date is the development of hierarchical optimum control frameworks for wheel-legged quadruped robots, a paper that has garnered 6 citations since its 2024 publication — a notable achievement for such recent work. Building on this foundation, Zhao has pioneered the application of multi-agent reinforcement learning to control the Pegasus, a bionic wheel-legged quadruped featuring four-wheel independent steering and versatile gait capabilities, demonstrating a sophisticated understanding of how distributed learning architectures can govern complex, multi-modal robotic platforms. Beyond locomotion, Zhao has extended their expertise into robotic manipulation within challenging real-world settings, proposing innovative path planning strategies for manipulators operating in factory farming environments — environments where rigid obstacle avoidance constraints have traditionally confounded conventional methods. This breadth of focus, spanning dynamic locomotion control to precision agricultural robotics, signals a researcher committed to advancing autonomy across diverse and demanding physical domains. Students interested in legged robotics, reinforcement learning, or agricultural automation will find Zhao's growing body of work both technically rigorous and practically motivated.