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

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Integration of a PID Control System for a Mobile System for Manufacturing Task on Continuous Conveyor
5 citations · 2016
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Brandenburg University of Technology Cottbus-Senftenberg

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago