Papers
2
Total Citations
44
H-Index
2
About
Huu Tho Nguyen is a robotics researcher whose work centers on rehabilitation robotics, nonlinear control systems, and pneumatic artificial muscle (PAM) actuators. His most significant contribution addresses a critical challenge in medical robotics: controlling exercise-assisted robotic arms for elbow joint rehabilitation. In his highly cited 2020 paper (35 citations), Nguyen developed an adaptive fast terminal sliding mode controller specifically designed to overcome the time-varying nonlinear dynamics, uncertain models, and hysteresis characteristics inherent in PAM actuators. This work provides a practical solution for implementing model-based control algorithms in rehabilitation systems, enabling more reliable and precise movement assistance for patients recovering from elbow injuries. Earlier in his career, Nguyen explored foundational communication challenges in robotics through his undergraduate research on DTMF (Dual-Tone Multi-Frequency) communications for autonomous robots (2004, 9 citations), demonstrating his long-standing commitment to solving practical engineering problems. His research bridges the gap between advanced control theory and real-world rehabilitation applications, offering valuable insights for engineers developing assistive robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feasibility Study of DTMF Communications for Robots9 citations · 2004