Qintao Chen

Beijing Institute of Technology, China Academy of Space Technology

Papers

Total Citations

H-Index

About

Qintao Chen is a leading researcher in intelligent manufacturing and robotics, with a focus on enhancing the precision and performance of industrial robots for large-scale, complex component fabrication. His major contributions lie in developing novel methods to improve the accuracy of mobile milling robots and robotic belt grinding systems, addressing critical challenges in in-situ machining. Chen’s most-cited work, “Method for Improving Accuracy of NC-driven Mobile Milling Robot” (2021, 15 citations), introduces a groundbreaking approach that integrates CNC-driven control architectures with advanced compensation techniques—including grating closed-loop control and geometric constraint-based kinematic parameter identification—to significantly boost positioning accuracy. His research on real-time compensation strategies (2022, 3 citations) further advances the field by employing Latin hypercube sampling and nonlinear mapping models to achieve stable, high-precision robot tool center point control. Chen has also optimized stiffness performance for industrial robots in milling processes (2019, 3 citations), a key factor in expanding serial robot applications. With a total of over 25 citations across his core papers, Chen’s work is pivotal for enabling efficient, high-quality manufacturing of large components, positioning him as an influential figure in robotics and precision engineering.