Zhihong Cao

Beijing Electronic Science and Technology Institute

Papers

Total Citations

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About

Zhihong Cao is a leading researcher in mobile robotics and human-robot collaboration, with a focus on trajectory tracking, motion control, and adaptive manipulation. His most-cited work, "Trajectory tracking of redundantly actuated mobile robot by MPC velocity control under steering strategy constraint" (2022, 62 citations), introduces a model predictive control framework that enhances precision and stability in complex steering scenarios—a critical contribution to autonomous navigation. Building on this, his 2023 paper on "Nonlinear impedance control with trajectory adaptation for collaborative robotic grinding" (12 citations) pioneers adaptive impedance strategies that enable robots to safely and effectively interact with human operators during precision tasks like grinding, blending compliance with performance. These contributions have significant implications for manufacturing, service robotics, and assistive technologies. Cao’s work stands out for its practical integration of control theory and real-world constraints, earning recognition for advancing both the theoretical foundations and applied solutions in robotic systems. His research continues to shape the future of safe, efficient, and collaborative automation.