Fuming Zhang

Tsinghua University, Georgia Institute of Technology

Papers

Total Citations

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About

Fuming Zhang is a pioneering researcher in the intersection of intelligent robotics and nonlinear control systems. His work primarily focuses on advanced control strategies for flexible-link robots, where he has made significant contributions through the development of multirate adaptive composite controllers that leverage neural networks to handle partially unknown nonlinear dynamics. This foundational work, published in 2002, introduced a novel approach using singular perturbation methods and two-time-scale decomposition to achieve precise trajectory tracking, establishing a framework that has influenced subsequent research in flexible robotics. In more recent work, Zhang has expanded into bio-inspired robotics and environmental sensing. His 2023 study on motion tomography performed by robotic fish with active heading control represents a novel approach to underwater flow field perception, addressing critical challenges in marine robotic vehicle operations. This work demonstrates how autonomous underwater vehicles can actively map water flow patterns in confined areas, improving path planning and energy efficiency—a significant advancement over traditional buoy and satellite-based methods. With a growing citation impact, Zhang's research bridges theoretical control engineering with practical robotic applications, from industrial manipulators to autonomous underwater vehicles. His work continues to inspire new approaches in adaptive control and bio-inspired robotics.