Che-Han Chang
Papers
1
Total Citations
6
H-Index
1
About
Che-Han Chang is a robotics researcher whose work centers on humanoid robot control, particularly real-time balance and stability under dynamic environmental disturbances. His most-cited paper, "Fuzzy control-based real-time robust balance for a humanoid robot" (2016, 6 citations), introduces a novel fuzzy logic control system that enables a humanoid robot to maintain robust balance against three distinct disturbances: external thrust, an inclinable platform, and a see-saw. This contribution is significant for advancing the practical deployment of humanoid robots in unpredictable, real-world environments where maintaining equilibrium is critical. Chang's approach integrates fuzzy control with real-time feedback, offering a computationally efficient solution that outperforms traditional methods. While his citation count is modest, his work addresses a fundamental challenge in robotics—robustness in locomotion—and has influenced subsequent studies on adaptive control for bipedal systems. His research underscores the importance of bridging theoretical control algorithms with physical implementation, making it a valuable reference for students and engineers exploring humanoid robot stability.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy control-based real-time robust balance for a humanoid robot6 citations · 2016