Zhiyao Liu

Papers

Total Citations

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About

Zhiyao Liu is a researcher focused on the intersection of human motion analysis and intelligent robotic systems. His primary research areas include human activity recognition using biosignal data and the optimization of automated assembly processes. Liu’s most notable contribution is the development of the HAR-sEMG dataset, a specialized resource for human activity recognition on lower-limb surface electromyography (sEMG) signals. This dataset, published in 2021 and garnering 18 citations, provides a critical foundation for advancing wearable sensor technologies and prosthetic control systems. In his more recent work, Liu has explored industrial robotics, proposing a particle swarm optimization (PSO) algorithm-based method to minimize the assembly space in a two-robot workcell. By analyzing the effects of population size and acceleration coefficients on fitness values, his approach offers a practical solution for efficient factory layout design. While his citation count is still growing, Liu’s contributions bridge the gap between human biomechanics and autonomous manufacturing, demonstrating a versatile skill set in data-driven optimization and sensor-based activity recognition. His work holds promise for both rehabilitation engineering and smart manufacturing.