Papers
2
Total Citations
14
H-Index
2
About
Wei Chang’s research lies at the intersection of bio-inspired robotics and intelligent control systems, with a focus on developing flexible locomotion strategies for underwater vehicles and robust control methods for perturbed mobile robots. In their most cited work (2023, 11 citations), Chang introduced a CPG-based (Central Pattern Generator) framework for an underwater undulating fin platform, enabling flexible locomotion control and systematic evaluation of propulsion performance—a significant step toward more agile and efficient bio-inspired underwater robots. Earlier, Chang tackled the challenging problem of controlling a perturbed trailer-type mobile robot (TTMR) under stochastic disturbances (2004, 3 citations), transforming the system into a Takagi-Sugeno fuzzy model to design constrained discrete fuzzy controllers. This work demonstrated how fuzzy logic can handle real-world uncertainties in robotic navigation. Though early in their citation trajectory, Chang’s contributions are notable for bridging theoretical control design with practical robotic applications, particularly in aquatic environments. Their work offers valuable insights for researchers in soft robotics, autonomous underwater vehicles, and nonlinear control systems.
Research Focus
Key Achievements
Top Papers
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