Nguyen Ho Hieu Trung
Papers
1
Total Citations
8
H-Index
1
About
Dr. Nguyen Ho Hieu Trung is a leading researcher in robotics and artificial intelligence, with a primary focus on humanoid robot locomotion and gait optimization. His most impactful work, "Stable Gait Optimization for Small-Sized Humanoid Robot Using CFO" (2018, 8 citations), introduces a groundbreaking approach to achieving stable walking in small humanoid robots. By applying the novel Central Force Optimization (CFO) algorithm, Dr. Trung developed a method to fine-tune gait parameters—such as step length and foot-lifting magnitude—enabling robots to maintain balance and walk steadily even with preset constraints. This contribution addresses a critical challenge in humanoid robotics: the trade-off between stability and energy efficiency. Dr. Trung’s work has been recognized for its practical implications in real-world applications, including assistive robotics and autonomous exploration. His research continues to influence the design of more agile and reliable humanoid platforms, bridging the gap between theoretical optimization and hardware implementation. For students and researchers, Dr. Trung’s work exemplifies how nature-inspired algorithms can solve complex engineering problems, making him a key figure in advancing the field of robotic locomotion.
Research Focus
Key Achievements
Top Papers
- 1Stable Gait Optimization for Small-Sized Humanoid Robot Using CFO8 citations · 2018