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About

Anzheng Zhang is pioneering the frontier of bio-inspired robotics, with a focused expertise in the design and control of novel wheel-legged quadruped robots. His major contributions center on creating versatile, multi-modal locomotion systems that seamlessly blend wheeled efficiency with legged agility. Zhang’s work is exemplified by the development of "Pegasus," a groundbreaking quadruped robot that employs an underactuated wheeled-legged mechanism, enabling it to switch between pure wheeled motion and a hybrid wheeled-legged gait for superior adaptability. This core innovation is detailed in his most-cited paper (6 citations, 2024), which establishes a hierarchical optimum control framework for such complex systems. Further extending this foundation, Zhang has pioneered the use of Multi-Agent Reinforcement Learning (RL) to achieve sophisticated tracking control for Pegasus, allowing for four-wheel independent steering and diverse gaits. His research also demonstrates practical application through the design of an agricultural robot with multi-modal kinematics. With a cumulative impact of 16 citations across his key works, Zhang is establishing himself as a leading voice in creating the next generation of highly adaptable, intelligent mobile robots for challenging real-world environments.