Jiewen Lang
Papers
1
Total Citations
3
H-Index
1
About
Jiewen Lang is a robotics researcher whose work centers on the control and optimization of servo motor systems for medical applications, particularly in minimally invasive surgical robots. His most-cited paper, "Analysis and Optimization of Servo Motor Control Strategy for Minimally Invasive Surgical Robot" (2019), addresses a critical challenge in surgical robotics: achieving precise, responsive control of redundant master manipulators. Lang proposed an integrated controller architecture for multi-axis applications, employing a model adaptive self-learning method to enhance system performance. This work has garnered 3 citations, reflecting its niche but growing influence in the field of medical robotics. Lang’s contributions lie at the intersection of control theory and surgical instrument design, aiming to improve the dexterity and reliability of robotic systems used in delicate procedures. His research is particularly relevant for students and engineers interested in the practical implementation of adaptive control strategies in high-stakes environments. While his citation count is modest, Lang’s focus on real-world optimization of servo motor control underscores his commitment to advancing the safety and efficacy of minimally invasive surgical technologies.
Research Focus
Key Achievements
Top Papers
- 1