Dunpeng Yuan
Papers
1
Total Citations
3
H-Index
1
About
Dunpeng Yuan is a researcher focused on the intersection of precision manufacturing and artificial intelligence, with key contributions in robotic error compensation for large optical mirror processing. His most cited work, "Error Prediction for Large Optical Mirror Processing Robot Based on Deep Learning" (2022), addresses a critical challenge in high-precision optics: predicting end-trajectory errors in large optical mirror processing robots (LOMPR). By developing a Bayesian-optimized long short-term memory (LSTM) model, Yuan enables more effective feedforward control error compensation, significantly improving motion accuracy—a vital advancement for fabricating large, high-quality mirrors used in telescopes and laser systems. Though early in his career, with his top paper accumulating 3 citations, Yuan’s work demonstrates a novel application of deep learning to mechanical engineering, bridging the gap between data-driven prediction and real-world manufacturing precision. His research holds promise for reducing costly trial-and-error in optical fabrication, positioning him as an emerging voice in intelligent robotic manufacturing.
Research Focus
Key Achievements
Top Papers
- 1