Aifen Li

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About

Aifen Li is a leading researcher in robotics, with a primary focus on the kinematics and control of redundant manipulators. Her most cited work, "Inverse kinematics of redundant manipulators with guaranteed performance" (2021, 17 citations), addresses a fundamental challenge in robotic path planning. Li introduced a novel Jacobian pseudoinverse (JP)-based method that leverages a numerical difference rule to discretize the inverse kinematics problem, ensuring both accuracy and stability in end-effector trajectory tracking. This contribution is critical for applications requiring precise motion in complex, constrained environments, such as industrial automation and surgical robotics. By guaranteeing performance in redundant systems—where multiple joint configurations can achieve the same end-effector pose—Li’s work provides a robust framework for real-time control. Her research bridges theoretical rigor with practical implementation, offering engineers a reliable tool for optimizing manipulator efficiency. With growing interest in autonomous systems, Li’s insights into redundancy resolution continue to influence the design of safer, more adaptable robots. Her work stands as a valuable resource for students and researchers exploring advanced robotic motion planning.