Teguh Aryo Nugroho

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About

Teguh Aryo Nugroho is a control systems researcher whose work centers on the stabilization and autonomous navigation of two-wheeled robots (TWRs) and unmanned aerial vehicles. His most cited paper, "Stabilizing Two-wheeled robot using linear quadratic regulator and states estimation" (2017, 15 citations), introduces a robust control framework that combines Linear Quadratic Regulator (LQR) with state estimation to address the inherent instability of TWRs. This contribution is foundational for developing reliable, self-balancing mobile platforms used in service robotics and education. Beyond this, Nugroho has explored adaptive control strategies and sensor fusion techniques, advancing the practical deployment of low-cost, lightweight robots. His work is recognized for bridging theoretical control design with real-world implementation, offering clear methodologies for researchers and students in robotics and mechatronics. By demonstrating how LQR can be effectively paired with estimation algorithms, Nugroho has provided a replicable template for stabilizing underactuated systems, making his research a valuable reference in the field of autonomous systems and control engineering.