Shuang Fang

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About

Shuang Fang’s research focuses on advancing robotic manipulation through precise trajectory planning, particularly for high-degree-of-freedom (DOF) robotic arms. Their major contributions lie in developing polynomial-based motion algorithms that ensure smooth, rapid, and accurate movement of seven-DOF manipulators—a critical challenge in industrial and service robotics. By employing quintic and seventh-degree polynomials, Fang’s work addresses the complex inverse kinematics required to convert path points into joint angles while fitting continuous, jerk-limited functions for each joint. This approach minimizes mechanical wear and improves operational efficiency. Fang’s most-cited paper, “Trajectory Planning for Seven-DOF Robotic Arm Based on Quintic Polynomial” (2019), has garnered 24 citations, reflecting its foundational impact on motion control research. A follow-up study using seventh-degree polynomials (11 citations) further refined these methods, demonstrating Fang’s commitment to optimizing robotic performance. Their work is notable for bridging theoretical kinematics with practical implementation, offering a scalable framework for multi-joint systems. Fang’s contributions are essential reading for students and engineers seeking to enhance robotic precision in assembly, surgery, or autonomous navigation.