Fanfan Zhang

Clemson University, Harbin Institute of Technology

Papers

Total Citations

184

H-Index

About

Fanfan Zhang is a multidisciplinary researcher whose work spans robotics control systems and the economics of automation and labor markets. Early in their career, Zhang made significant technical contributions to robotics, most notably through foundational work on tracking control of robot manipulators with bounded torque inputs (1999), which has garnered over 112 citations and remains a landmark study in adaptive control theory. This research introduced innovative full-state feedback and output feedback controllers capable of achieving semi-global asymptotic link position tracking — a meaningful advance for precision robotics. Zhang also contributed to bridging theory and practice through the MDLe Engine, a software tool designed to implement hybrid motion control in real-world autonomous systems. More recently, Zhang has pivoted toward the economics of robotics, examining how robot adoption shapes labor demand and export performance, particularly within Chinese industrial firms. These studies, each accumulating around 25–27 citations since their 2023 publication, address pressing societal questions about automation, unemployment, and industrial competitiveness. Together, Zhang's body of work reflects a rare and valuable capacity to contribute meaningfully across both the engineering foundations of robotics and its broader economic and policy implications, making their research highly relevant to engineers, economists, and policymakers alike.