Huimin Kang

Hunan University of Science and Technology

Papers

Total Citations

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About

Huimin Kang is a leading researcher in advanced robotics, specializing in the control and optimization of redundant parallel robots. Her work focuses on solving critical challenges in high-speed, variable-load robotic systems, particularly for 4-DOF (degrees of freedom) configurations. Kang’s major contributions include the development of a high-precision hybrid torque control algorithm that integrates torque feedforward with fuzzy computational torque feedback, effectively reducing impact and chattering under dynamic operating conditions. She also pioneered a trajectory optimization algorithm based on a 12-phase sine jerk motion profile, which significantly enhances motion accuracy and operational efficiency in joint-space planning. Her most-cited papers, each garnering 9 citations, underscore the practical relevance of her research in improving robotic performance for industrial applications. Kang’s innovative approaches to torque control and trajectory planning have positioned her as a key figure in the field, with her work offering valuable solutions for the next generation of high-speed, precise robotic systems. Her research continues to inspire advancements in parallel robot design and control.