Huike Zhang
Papers
1
Total Citations
4
H-Index
1
About
Huike Zhang is a researcher in advanced manufacturing and robotics, with a focus on intelligent trajectory planning and precision machining. Their most-cited work, "Robot trajectory planning for gear chamfer grinding based on multi-objective collaborative optimization and quintic B-spline interpolation algorithm" (2025), introduces a novel approach that integrates multi-objective optimization with smooth interpolation to enhance the efficiency and accuracy of robotic gear chamfer grinding. This contribution addresses critical challenges in automated manufacturing, such as balancing speed, precision, and tool wear, offering a practical solution for high-quality gear production. With 4 citations in a short time, the paper signals growing interest in Zhang's methods. Their research bridges theoretical optimization and industrial application, making it valuable for engineers and researchers in robotics, mechanical design, and smart manufacturing. Zhang’s work exemplifies how algorithmic innovation can drive tangible improvements in production processes, positioning them as an emerging voice in the field of robotic machining and computational manufacturing.
Research Focus
Key Achievements
Top Papers
- 1