Shichang Xu
Papers
1
Total Citations
3
H-Index
1
About
Shichang Xu is a researcher at the forefront of precision robotics and intelligent manufacturing, with a specialized focus on error compensation strategies for large-scale optical systems. His most impactful work, "Error Prediction for Large Optical Mirror Processing Robot Based on Deep Learning" (2022), addresses a critical challenge in high-precision engineering: predicting end-trajectory errors in large optical mirror processing robots (LOMPRs). By developing a Bayesian-optimized long short-term memory (LSTM) network, Xu created a robust predictive model that enables feedforward control error compensation, significantly enhancing motion accuracy for these massive robotic systems. This contribution is vital for advancing the fabrication of astronomical mirrors and high-end optical components. With 3 citations to date, his work is gaining traction among researchers in precision engineering and deep learning applications. Xu’s research bridges the gap between advanced machine learning and mechanical systems, offering a practical pathway to improve the performance of industrial robots in demanding optical manufacturing environments. His innovative approach positions him as an emerging authority in smart manufacturing and robotic error mitigation.
Research Focus
Key Achievements
Top Papers
- 1