Shengqiao Hu

Hunan University of Science and Technology

Papers

Total Citations

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About

Shengqiao Hu is a leading researcher in advanced robotics, specializing in the control and optimization of redundant parallel robots. His work addresses critical challenges in high-speed, high-precision automation, particularly for systems operating under variable loads. Hu’s major contributions include the development of a novel hybrid torque control algorithm that combines torque feedforward with fuzzy computational torque feedback, effectively mitigating impact and chattering in 4-DOF redundant parallel robots. This work, published in 2023, has already garnered 9 citations for its practical implications in industrial robotics. Additionally, Hu pioneered a trajectory optimization algorithm based on a twelve-phase sine jerk motion profile, enabling smoother joint-space motion and enhanced accuracy during high-speed operations. This 2021 study, also with 9 citations, demonstrates his ability to bridge theoretical kinematics with real-world efficiency gains. Hu’s research is notable for its direct application to manufacturing and automation, where precision under dynamic conditions is paramount. His achievements highlight a commitment to solving fundamental motion control problems, making his work essential reading for students and engineers advancing robotic performance and reliability.