Chunjie Xu
Papers
2
Total Citations
5
H-Index
2
About
Chunjie Xu is a researcher specializing in robotics and optimization, with a focus on trajectory planning for industrial robots in manufacturing applications. Their work addresses critical challenges in automation, particularly for spraying and laser engraving processes. Xu’s major contributions include developing multi-objective trajectory planning methods that enhance efficiency, accuracy, and energy performance. Their 2024 paper on spraying robots introduces a hybrid polynomial interpolation approach combined with HMONSGA-II to overcome limitations of traditional offline programming, achieving smoother and more precise paths for complex tasks. Another 2024 study proposes an improved multi-objective grasshopper optimization algorithm for tire laser engraving robots, reducing running time and energy consumption while ensuring continuous motion. Although early in their career, Xu’s work has already garnered citations, reflecting growing interest in their practical solutions for industrial automation. Their research is particularly notable for integrating advanced optimization algorithms with real-world robotic systems, offering tangible improvements in productivity and sustainability. Xu’s contributions are valuable for students and researchers exploring robotics, optimization, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2