Chunyue Liu

Papers

1

Total Citations

4

H-Index

1

About

Chunyue Liu is a researcher at the forefront of precision robotic manufacturing, with a primary focus on enhancing the accuracy and reliability of robotic milling processes. Their most-cited work, "Online compensation of contour errors in robotic milling based on multi-source characterization and path reconstruction" (2025), introduces a novel framework that integrates multi-source error characterization with real-time path reconstruction to significantly reduce contour errors. This contribution addresses a critical bottleneck in industrial robotics, where inherent structural flexibility and dynamic disturbances often compromise machining precision. By developing an online compensation strategy, Liu’s research bridges the gap between theoretical modeling and practical application, offering a scalable solution for high-accuracy tasks in aerospace and automotive manufacturing. Though early in their career, Liu’s work has already garnered attention, with the paper accumulating 4 citations since its publication—a promising indicator of growing influence. Their approach not only improves machining quality but also reduces the need for costly post-process corrections, marking a notable achievement in the field of robotic machining. Liu’s dedication to advancing real-time error mitigation positions them as an emerging voice in precision engineering and smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Online compensation of contour errors in robotic milling based on multi-source characterization and path reconstruction
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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