Papers
1
Total Citations
5
H-Index
1
About
Yikang Wei is a researcher in robotics and intelligent manufacturing, with a primary focus on manipulator trajectory planning and precision control for industrial applications. Their most notable contribution lies in developing a novel method for welding trajectory planning in six-axis robots under visual guidance, as detailed in their highly cited 2024 paper, "Manipulator Trajectory Planning Based on Clustering Curve Discretization and B‑Spline." This work introduces a technique that combines clustering and isometric image trajectory curve discretization to significantly enhance welding precision and quality, addressing a critical challenge in automated manufacturing. With 5 citations already, this paper has quickly gained attention for its practical impact on improving robotic welding accuracy. Wei’s research bridges the gap between theoretical trajectory optimization and real-world industrial deployment, offering scalable solutions for vision-guided robotic systems. Their work is particularly valuable for students and engineers seeking to understand how advanced discretization methods can refine robot motion planning, making them a rising contributor to the field of robotics and automation.
Research Focus
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Top Papers
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