Jiaxiang Lou

Papers

Total Citations

H-Index

About

Jiaxiang Lou is a researcher focused on advancing industrial automation and robotics through hardware-accelerated computation and kinematic optimization. His work centers on two key areas: FPGA-based hardware implementation for precision control systems and kinematics algorithm improvement for industrial robots. In his 2014 paper on FPGA-based circular interpolation, Lou addressed the critical limitation of software-based numerical control systems—namely, the trade-off between computational speed and interpolation accuracy. By implementing four hardware circular interpolation algorithms on FPGA, he demonstrated how dedicated hardware can overcome the speed constraints of software, achieving higher feed accuracy in CNC systems. His 2016 work on industrial robot kinematics tackled the intensive computational demands of real-time control. Using the six-joint industrial robot as a model, Lou established forward and inverse kinematics equations based on the D-H coordinate system and developed an improved search algorithm. While his citation counts (3 and 2, respectively) reflect the specialized nature of his research, these contributions are valuable for engineers seeking to enhance real-time performance in manufacturing systems. Lou’s work bridges the gap between theoretical kinematics and practical hardware implementation, offering tangible solutions for more responsive and precise industrial robots.