Yansui Liu

Papers

Total Citations

H-Index

About

Yansui Liu is a robotics and automation researcher whose work focuses on advancing intelligent manufacturing systems, particularly in the realm of electronic assembly. His key research areas include industrial robotics, collision-free trajectory planning, and automated insertion systems for odd-form electronic components. Liu’s major contributions center on solving critical bottlenecks in PCB assembly—specifically, the development of a dual-SCARA robot system for odd-form component insertion, which directly addresses industry challenges like poor quality, low efficiency, and rising labor costs. His work on online collision-free trajectory generation for multiple robots in shared workspaces is equally impactful, proposing a stable, first-order system that enables real-time safe movement coordination. While his most-cited papers (3 and 2 citations respectively) reflect a specialized technical audience, their practical significance is underscored by their direct application to high-mix, low-volume manufacturing environments. Liu’s research bridges the gap between theoretical robotics and real-world factory automation, offering scalable solutions that reduce manual complexity and improve production reliability. His contributions are particularly notable for their focus on system integration, demonstrating how dual-robot coordination and real-time path planning can transform legacy manual processes into efficient, automated workflows.