Hao-Che Chen

Papers

Total Citations

H-Index

About

Hao-Che Chen is a robotics researcher whose work centers on the control and stabilization of humanoid robots, with a particular focus on balancing mechanisms. His major contributions lie in the development of fuzzy logic and static balancing control methods for small-scale humanoid platforms. In his 2009 paper, "Fuzzy Balancing Control of a Small-size Humanoid Robot based on Accelerometer," Chen introduced an adaptive fuzzy control system that enabled the TWNHR-IV robot—a 26-degree-of-freedom humanoid—to maintain its balance on inclined surfaces using real-time data from a 3-axis accelerometer. This work, cited 6 times, built upon his earlier 2008 study on static balancing, which demonstrated the robot’s ability to stand steadily on a flat plane. Together, these papers establish Chen as a key contributor to low-cost, sensor-driven balancing strategies for humanoid robotics. While his citation counts are modest, his research is foundational for students and engineers exploring practical, embedded control systems for bipedal locomotion. Chen’s work exemplifies how accelerometer-based feedback can be harnessed to achieve robust stability in compact humanoid robots, offering valuable insights for the next generation of autonomous robotic systems.