Xiangzhen Chen
Papers
1
Total Citations
66
H-Index
1
About
Dr. Xiangzhen Chen is a leading researcher in industrial robotics and intelligent optimization, with a primary focus on enhancing the precision and efficiency of automated manufacturing systems. Their most significant contribution is the development of a novel kinematic calibration method for industrial robots, specifically designed to improve drilling and riveting accuracy. In their highly cited 2022 work, Dr. Chen introduced an improved beetle swarm optimization algorithm, incorporating a preference random substitution method to refine the algorithm's update strategy and boundary handling. This innovation directly addresses critical challenges in robotic positioning errors, offering a robust solution for high-precision assembly tasks. With their top paper accumulating 66 citations, Dr. Chen’s work is recognized as a key advancement in the integration of bio-inspired swarm intelligence with robotic calibration. Their research not only advances theoretical understanding in optimization algorithms but also provides practical, implementable techniques for the manufacturing industry, making them a notable figure in the field of industrial automation and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1