Khuu Bach Thy
Papers
1
Total Citations
8
H-Index
1
About
Khuu Bach Thy is a robotics researcher whose work centers on humanoid robot locomotion and gait optimization. Her primary contribution lies in advancing stable walking for small-sized humanoid robots, a critical challenge in the field. In her most cited work, "Stable Gait Optimization for Small-Sized Humanoid Robot Using CFO" (2018, 8 citations), she introduced a novel application of the Central Force Optimization (CFO) algorithm to fine-tune gait parameters. This approach enables robots to achieve stable stepping with a preset foot-lifting magnitude, directly addressing the instability that plagues smaller platforms. By moving beyond traditional trial-and-error tuning, Thy’s work provides a systematic, optimization-driven method for designing more reliable and efficient gaits. While her citation count is modest, the practical significance of her research is notable for its potential to improve the autonomy and robustness of humanoid robots in real-world environments. Her contributions are particularly relevant for researchers working on low-cost, small-scale humanoid platforms, where stability remains a bottleneck for broader deployment.
Research Focus
Key Achievements
Top Papers
- 1Stable Gait Optimization for Small-Sized Humanoid Robot Using CFO8 citations · 2018