Zhaojing Wu
Papers
15
Total Citations
236
H-Index
7
About
Zhaojing Wu is a leading researcher in stochastic robotics and nonlinear control systems, whose work bridges the gap between theoretical robustness and real-world unpredictability. Her primary research areas include dynamics modeling and tracking control of robot manipulators under random vibrations, flexible-joint robotic systems, and mobile robot navigation in uncertain environments. Wu’s major contributions lie in developing rigorous control frameworks—such as stochastic Hamilton-Jacobi formulations and reinforcement learning-based actor-critic algorithms—that enable robots to maintain precise trajectory tracking despite external disturbances, actuator uncertainties, and even faults. Her 2012 paper on manipulator control in random vibration environments (66 citations) and her 2019 work on flexible joint manipulators under random disturbances (53 citations) are foundational references in stochastic robotic control. More recently, her 2022 study on reinforcement learning for Mecanum wheeled mobile robots (33 citations) demonstrates her ability to integrate modern AI techniques with classical control theory. Wu has also pioneered prescribed performance control for flexible-joint robots and adaptive robust maneuvering via dynamic surface techniques. Her work on stochastic stabilization of nonholonomic mobile robots and semi-global practical stability of random systems further underscores her impact. With over 220 total citations, Wu’s research is essential reading for engineers tackling robot control in unpredictable environments.
Research Focus
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Top Papers
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- 9Semi-Global Practical Stability of Random Systems and Its Application4 citations · 2023
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