Xiao Min Hu

Taiyuan University of Science and Technology

Papers

Total Citations

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About

Xiao Min Hu is a leading researcher in robotics and intelligent optimization, with a primary focus on time-optimal trajectory planning and swarm intelligence algorithms. Their most impactful contribution is the development of an improved simplified particle swarm optimization (ISPSO) algorithm for robot motion control, as detailed in their highly cited 2023 paper "Robot Time Optimal Trajectory Planning Based on Improved Simplified Particle Swarm Optimization Algorithm." This work, which has garnered 18 citations, addresses the critical challenge of minimizing robot running time by constructing trajectories using 3-5-3 polynomial interpolation and optimizing them with ISPSO. Hu's approach significantly enhances computational efficiency and convergence speed compared to traditional methods, offering practical solutions for industrial automation and autonomous systems. Their research bridges the gap between theoretical optimization and real-world robotic applications, making complex trajectory planning more accessible and efficient. Hu's work continues to influence the fields of manufacturing, logistics, and service robotics, where rapid and precise motion control is essential.