Papers
2
Total Citations
7
H-Index
1
About
Dr. Zuhua Xu is a rising researcher in the field of robotic control systems, specializing in adaptive and optimized interaction control for robotic manipulators. Their work focuses on solving critical challenges in robot-environment interaction, particularly addressing state constraints and restrictive initial conditions that limit practical deployment. Dr. Xu's most cited paper (2023, 6 citations) introduces an adaptive finite-time impedance control strategy using optimized backstepping techniques, offering a novel solution to the computationally intensive Hamilton-Jacobi-Bellman equation through reinforcement learning. This work advances the safe and efficient operation of robots under physical constraints. More recently, Dr. Xu's 2025 paper proposes an adaptive optimal admittance control scheme that eliminates the need for restrictive initial conditions, enabling more flexible and robust robot-environment interactions. By integrating impedance and admittance control with optimization frameworks, Dr. Xu is contributing to the next generation of intelligent robotic systems capable of adaptive, force-sensitive tasks. Their research holds significant promise for applications in manufacturing, rehabilitation robotics, and autonomous manipulation, marking them as an emerging voice in modern control theory and robotics.
Research Focus
Key Achievements
Top Papers
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