Papers
1
Total Citations
23
H-Index
1
About
Peiyang Wei is a researcher at the forefront of precision robotics and intelligent manufacturing, with a primary focus on enhancing the positioning accuracy of industrial robots through advanced algorithmic optimization. His most-cited work, "A logistic-tent chaotic mapping Levenberg Marquardt algorithm for improving positioning accuracy of grinding robot" (2024, 23 citations), addresses a critical challenge in automated machining: the geometric errors in robot kinematics that degrade absolute positioning precision. By integrating logistic-tent chaotic mapping into the Levenberg Marquardt algorithm, Wei developed a novel approach that significantly improves calibration and error compensation, enabling more reliable and accurate grinding operations. This contribution is particularly impactful for high-precision industries such as aerospace and automotive manufacturing, where even minor deviations can compromise product quality. Despite being early in his career, Wei’s work has already garnered attention for its practical relevance and innovative methodology. His research not only advances the field of robot kinematics but also provides a scalable solution for real-world industrial applications, marking him as a promising voice in the intersection of chaos theory, optimization algorithms, and robotic precision engineering.
Research Focus
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Top Papers
- 1