Jin Seok Noh
Papers
1
Total Citations
12
H-Index
1
About
Jin Seok Noh is a robotics researcher whose work centers on the control of nonlinear and underactuated mechanical systems, particularly mobile inverted pendulum robots. His most-cited paper, "Robust control of a mobile inverted pendulum robot using a RBF neural network controller" (2009, 12 citations), addresses the challenging problem of stabilizing a mobile inverted pendulum system (MIPS)—a hybrid of a wheeled mobile robot and an inverted pendulum with arms—as it navigates on a horizontal plane. By employing a radial basis function (RBF) neural network, Noh developed a robust controller capable of handling the system's inherent instability and nonlinear dynamics. This contribution is significant for advancing the practical deployment of balancing robots in real-world environments. While his citation count reflects a focused, specialized impact, Noh's work provides foundational insights for researchers in mobile robotics, control theory, and neural network-based control, demonstrating how intelligent algorithms can enable complex, unstable platforms to operate reliably.
Research Focus
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Top Papers
- 1