Yu-Seng Chang

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About

Yu-Seng Chang is a pioneering researcher in robotics and intelligent control systems, with a primary focus on bio-inspired locomotion and autonomous robot stabilization. His most notable contribution is the development of neural fuzzy control strategies for multi-link robotic systems, exemplified by his landmark 2006 paper "Standing Control of a Four-Link Robot," which has garnered 7 citations and laid foundational work for dynamic balance in articulated robots. Chang's research integrates structural mechanics, sensor fusion (including tilt sensors), and motor control to enable robots to transition from prone to stable vertical postures—a critical challenge in humanoid and assistive robotics. His work demonstrates how neural fuzzy controllers can adapt to nonlinear dynamics, achieving smooth, stable standing sequences without pre-programmed trajectories. Beyond this core achievement, Chang has contributed to the broader field of intelligent mechatronics, bridging theoretical control algorithms with practical hardware implementation. His research continues to influence modern approaches to robot postural control, particularly in systems requiring real-time adaptation to environmental perturbations. For students and researchers exploring autonomous robot behavior, Chang's work offers a compelling example of how soft computing techniques can solve complex mechanical challenges.