Linqiang Wang
Papers
1
Total Citations
2
H-Index
1
About
Linqiang Wang is a researcher specializing in robotics and automation, with a particular focus on precision manufacturing processes. His work centers on trajectory planning for robotic systems, especially in the context of small-scale industrial applications. Wang’s most notable contribution is his 2019 study on trajectory planning for the winding process of small-sized motor stator winding robots, a critical task in the production of compact electric motors used in devices ranging from household appliances to automotive components. This research addresses the challenge of optimizing robot motion to ensure accurate, efficient, and damage-free winding of stator coils—a process vital for motor performance and longevity. While his citation count remains modest, with his key paper garnering 2 citations, Wang’s work represents a foundational step in advancing automation for micro-manufacturing, where precision and repeatability are paramount. His efforts contribute to the broader field of industrial robotics, aiming to enhance productivity and quality in the assembly of small electromechanical systems. For students and researchers exploring automation in niche manufacturing, Wang’s trajectory planning insights offer a practical framework for tackling real-world robotic control problems.
Research Focus
Key Achievements
Top Papers
- 1