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Mihua Ma is a leading researcher in the control and synchronization of networked robotic systems, with a primary focus on Lagrangian dynamics and task-space control. Her work addresses fundamental challenges in coordinating multiple robotic manipulators, particularly under constraints such as directed communication graphs, dynamic uncertainties, and time-delays. Ma’s major contributions include pioneering the use of pinning adaptive control for practical synchronization of Lagrangian networks, as well as developing innovative intermittent and impulsive control strategies that reduce communication and energy demands while ensuring robust tracking performance. Her 2015 paper on adaptive practical synchronisation via pinning control (19 citations) established key algebraic criteria that have influenced subsequent work in the field. More recently, she has advanced task-space control for robotic manipulators, enabling precise end-effector coordination without requiring full-state feedback. With a cumulative citation count exceeding 60 across her most-cited works, Ma’s research bridges theoretical control theory and practical robotics applications, offering scalable solutions for multi-robot systems in manufacturing, exploration, and automation. Her work on impulsive and intermittent controllers is particularly notable for its potential to enhance the efficiency and reliability of networked robotic systems in real-world environments.