Hao-Gong Chou

Papers

Total Citations

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About

Hao-Gong Chou is a robotics researcher whose work centers on intelligent locomotion and balance control for legged robots, with a particular focus on fuzzy logic systems. His most-cited paper, "Fuzzy Control Strategy for a Hexapod Robot Walking on an Incline" (2017, 17 citations), demonstrates his expertise in enabling stable, adaptive gait on challenging terrain. Chou’s major contribution lies in developing real-time robust balance control for humanoid robots, as detailed in his 2016 study (6 citations), where he implemented a fuzzy control system that allows a humanoid to withstand external thrusts, maintain stability on inclinable platforms, and balance on a see-saw. This work directly addresses the critical challenge of dynamic equilibrium under environmental disturbances, advancing the practical deployment of bipedal robots. While his citation counts reflect a focused, emerging impact, Chou’s research is notable for its hands-on, experimental validation—bridging theoretical fuzzy control with real-world robotic performance. His achievements underscore a commitment to creating more resilient, adaptive machines, making his contributions valuable for students and researchers exploring robust locomotion in robotics.