Minh Thanh Le
Papers
1
Total Citations
19
H-Index
1
About
Minh Thanh Le is a robotics researcher specializing in the control and navigation of omnidirectional mobile robots. His work addresses the critical challenge of trajectory tracking in systems with diverse input configurations, enabling more precise and adaptable motion control for complex environments. Le’s most-cited paper, "Omnidirectional Mobile Robot Trajectory Tracking Control with Diversity of Inputs" (2021), has garnered 19 citations, reflecting its relevance to advancing autonomous mobility. By exploring how varying actuator inputs affect stability and path-following accuracy, he contributes to the development of more versatile robotic platforms for applications ranging from warehouse logistics to assistive technologies. His research bridges theoretical control theory with practical implementation, offering insights into robust performance under real-world constraints. Le’s contributions are particularly valuable for students and engineers seeking to understand the nuances of multi-input robotic systems, and his work continues to influence the design of agile, omnidirectional robots.
Research Focus
Key Achievements
Top Papers
- 1