Yanxin Liu
Papers
1
Total Citations
4
H-Index
1
About
Yanxin Liu is a researcher in robotics and intelligent control, with a focus on trajectory optimization and energy-efficient automation. Their most-cited work, "Time and energy optimal trajectory planning for freight train cleaning robot based on seventh-degree polynomial interpolation and an improved HHO" (2025), introduces a novel approach to balancing speed and energy consumption in industrial cleaning robots. By combining high-degree polynomial interpolation with an enhanced Harris Hawks Optimization algorithm, Liu’s method achieves smoother, more efficient motion profiles—critical for heavy-duty applications like freight train maintenance. This paper has garnered 4 citations since its publication, reflecting early interest from peers in robotics and manufacturing. Liu’s contributions lie at the intersection of applied optimization and real-world automation, addressing practical challenges in logistics and infrastructure upkeep. Their work demonstrates how advanced mathematical modeling can improve both the performance and sustainability of robotic systems. As a rising voice in the field, Yanxin Liu continues to explore how intelligent algorithms can transform industrial processes, making them safer, faster, and more resource-conscious.
Research Focus
Key Achievements
Top Papers
- 1