About

Thang Nguyen is a robotics and control systems researcher whose work spans multi-agent coordination, prosthetics control, and robotic manipulation. He is best known for his contributions to formation control and obstacle avoidance in multi-robot systems, developing novel approaches that enable groups of autonomous agents — including geometrically complex rectangular robots — to coordinate effectively under limited communication constraints. His 2016 paper on formation control of rectangular agents has garnered 94 citations, establishing him as a significant voice in cooperative robotics. Beyond multi-agent systems, Nguyen has made meaningful contributions to assistive technology, designing robust adaptive impedance controllers for transfemoral prostheses and developing ground reaction force estimation methods that improve amputee gait analysis without relying on cumbersome load cells. His 2019 work on regressor-free robot control using function approximation techniques demonstrates his broader expertise in intelligent and adaptive control for rigid robotic systems. More recently, he has expanded into cable-driven parallel robots and distributed informative path planning for mobile sensor networks. Across more than a decade of research, Nguyen's cumulative citation record reflects a consistently productive career bridging theoretical control design with practical robotics applications.

Research Focus

Key Achievements

8
H-Index
13
Papers
305
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Formation Control and Obstacle Avoidance of Multiple Rectangular Agents With Limited Communication Ranges
94 citations · 2016
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Cleveland State University, Ton Duc Thang University, Thuyloi University, University of Exeter, Texas A&M University – Corpus Christi, University of Nevada, Reno

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago