Y. C.

Papers

Total Citations

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About

Y. C. is a robotics and control systems researcher whose work bridges embedded hardware design and intelligent control, with a particular focus on underactuated robotic systems. Their most notable contribution is the development of a fuzzy logic controller implemented on Field Programmable Gate Arrays (FPGAs) for stabilizing a cyclist robot—a complex, nonlinear system modeled after the classic Acrobot. This research, published in 2009, demonstrates an innovative hardware/software codesign approach that leverages a Microblaze FPGA embedded processor to achieve real-time balance control. While the paper has accumulated 3 citations to date, its significance lies in its pioneering integration of fuzzy control theory with reconfigurable computing for robotic stability. Y. C.'s work exemplifies the practical application of advanced control algorithms in resource-constrained embedded environments, offering valuable insights for researchers working on autonomous robots, bipedal locomotion, and real-time control systems. Their approach remains relevant for students and engineers exploring the intersection of intelligent control, robotics, and digital hardware design.