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About

Xiaoming Hu is a prominent researcher in robotics and control systems, with expertise spanning multiagent coordination, mobile robotics, attitude estimation, and nonlinear control theory. His most influential contribution, the control Lyapunov function approach to multiagent coordination — cited nearly 400 times — established a rigorous mathematical framework for governing robot formations, proving foundational theorems on formation maintenance, task completion time, and coordinated velocity. This work has become a cornerstone reference in multi-robot systems research. Hu has also made significant strides in attitude estimation for accelerated rigid bodies, developing drift-free estimation methods that directly address the challenging dynamics encountered in walking robots, accumulating over 280 citations across related publications. His contributions extend to path planning in unknown environments, distributed sampled-data control of nonholonomic multi-robot systems, and collaborative target tracking using directional sensors — demonstrating a breadth that bridges theoretical control design and practical robotic applications. With a body of work exceeding 1,100 citations across his top papers alone, Hu's research has profoundly shaped how autonomous multi-robot systems are designed, coordinated, and deployed in real-world settings, making his publications essential reading for anyone working at the intersection of control theory and robotics.