Papers
3
Total Citations
12
H-Index
2
About
Duc Tho Le is a researcher focused on advancing manufacturing automation through intelligent robotics and control systems. His work centers on integrating mobile robots with production lines to reduce non-value-added processes, as demonstrated in his 2016 paper on PID-controlled mobile systems for continuous conveyor tasks. Le’s major contributions lie in developing self-adaptive robotic systems for flexible assembly, where he combines 3D and 2D camera vision with movable robots to enable precise object detection in semi-structured environments. His research also explores fault propagation and graph-based path generation for skill-based robot programming, aiming to enhance system reliability and adaptability. While his citation counts are modest—with top papers each garnering 5 citations—his work addresses critical challenges in modern manufacturing, such as reducing waste and improving flexibility. Le’s focus on integrating transportation and machining tasks represents a novel approach to streamlining production, positioning him as a contributor to the evolution of smart manufacturing systems. His research is particularly relevant for students and engineers interested in robotics, automation, and Industry 4.0 applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self adaptive system for flexible robot assembly operation5 citations · 2016
- 3