Papers
11
Total Citations
142
H-Index
6
About
Puchen Zhu is a robotics researcher whose work spans advanced control theory, continuum robot design, and intelligent motion planning for robotic manipulators. His research addresses some of the most pressing challenges in modern robotics: achieving precise, robust control in complex and uncertain environments while expanding the physical capabilities of robot systems themselves. Zhu's most impactful contribution is his development of a novel hybrid continuum robot (HCR) with nine degrees of freedom, designed to navigate confined spaces with superior dexterity and manipulability — work that has already attracted 35 citations since its 2023 publication. Complementing this hardware innovation, he has made significant strides in control methodologies, including fuzzy neural network-based constant force PID control (32 citations) and adaptive backstepping sliding mode control (18 citations), both targeting high-precision trajectory tracking for industrial manipulators. More recently, Zhu has pioneered the integration of fractional calculus into neural network solvers for time-variant quadratic programming, representing a genuinely novel intersection of mathematical theory and robotic motion planning. His work also extends into surgical robotics, with a handheld robotic instrument designed for maxillary sinus surgery, demonstrating meaningful real-world clinical ambition. Across roughly 140 cumulative citations, Zhu has established himself as a versatile and technically rigorous contributor to both theoretical and applied robotics.
Research Focus
Key Achievements
Top Papers
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- 8Dual-Mode Synchronization Predictive Control of Robotic Manipulator6 citations · 2022
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