Zhaowu Ping

Papers

Total Citations

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About

Dr. Zhaowu Ping is a robotics researcher whose work bridges control theory, bio-inspired engineering, and human-robot collaboration. His primary research areas include nonlinear control systems, adaptive control for robotic manipulators, and intelligent decision-making in human-robot interaction. Dr. Ping’s most cited work, "Discrete-time integral terminal sliding mode-based speed tracking control for a robotic fish" (2021, 15 citations), introduces a robust control strategy that significantly improves the speed tracking performance of biomimetic underwater robots, demonstrating practical applications in autonomous aquatic systems. In his 2024 study on robot manipulators, he developed an internal model-based adaptive controller that effectively handles external disturbances and parameter uncertainties, advancing trajectory tracking accuracy in task-space operations. His most recent contribution (2025) explores deep reinforcement learning for hierarchical control in human–exoskeleton collaborative packaging systems, showcasing his growing focus on assistive robotics and industrial automation. With a citation trajectory reflecting increasing recognition, Dr. Ping’s work is particularly valuable for researchers interested in sliding mode control, adaptive systems, and the integration of learning-based methods in robotic control.