Peng Fu

Papers

Total Citations

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About

Peng Fu is an emerging researcher specializing in robotics control systems, with a particular focus on adaptive control theory and trajectory planning for complex robotic platforms. His work addresses some of the most challenging problems in modern robotics, including disturbance rejection and motion planning for underactuated systems. Fu's most notable contribution to date is his development of a mismatched composite disturbance observer-based adaptive tracking controller for motor-driven robotic manipulators. This innovative approach breaks new ground by eliminating the need for bounded derivative assumptions on mismatched disturbances — a significant theoretical advancement that enhances the practical robustness of robotic control systems. This work has already garnered 5 citations since its 2024 publication, reflecting rapid uptake within the research community. His complementary research on trajectory planning for spherical robots demonstrates the breadth of his expertise. By leveraging differential flatness theory, Fu has developed solutions that enable spherical robots — inherently underactuated and non-holonomic systems — to navigate diverse environments with greater reliability, earning 2 citations in the same year of publication. Though early in his research career, Peng Fu's dual focus on theoretical rigor and practical applicability positions him as a promising voice in intelligent robotics and autonomous systems engineering.