Chengshuai Wu

Tel Aviv University, State Key Laboratory of Industrial Control Technology

Papers

Total Citations

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About

Chengshuai Wu is a control theorist and roboticist whose research focuses on the guidance, navigation, and motion planning of autonomous systems, with a particular emphasis on wheeled mobile robots and nonholonomic constraints. Wu’s major contributions lie in the development of advanced vector field-based path-following algorithms that ensure robust convergence and stability. Their most cited work, “Path Following of Wheeled Mobile Robots Using Online-Optimization-Based Guidance Vector Field” (2021, 37 citations), introduces a novel online optimization procedure to estimate path error, enabling precise trajectory tracking despite system nonlinearities. This work is complemented by “Guidance Vector Field Encoding based on Contraction Analysis” (2018, 5 citations), which leverages differential Lyapunov theory to encode guidance fields that guarantee convergence to desired paths. Wu’s research is notable for bridging theoretical rigor—through contraction analysis and matrix-measure-based methods—with practical robotic applications, offering computationally efficient solutions for real-time control. Their work has significant implications for autonomous navigation in constrained environments, making it highly relevant for students and researchers in robotics, nonlinear control, and autonomous systems.