Sainzaya Galsanbadam

Papers

Total Citations

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About

Sainzaya Galsanbadam is a researcher specializing in control systems, robotics, and nonlinear dynamics, with a particular focus on balancing and navigation challenges. Their most-cited work, "LQR control with refined PID to balance rotary inverted pendulum with time-varying uncertainty" (2017, 11 citations), addresses the complex problem of stabilizing a rotary inverted pendulum—a nonlinear system with direct applications to human balance studies, bipedal robot development, and rehabilitation technologies. By integrating Linear Quadratic Regulator (LQR) control with refined PID strategies, Galsanbadam advanced methods for managing time-varying uncertainties, offering robust solutions for real-world dynamical systems. Additionally, in "Coarse grid partition to speed up A* robot navigation" (2019, 2 citations), they tackled path planning for autonomous robots, proposing an efficient coarse grid partitioning technique to accelerate A* search algorithms. This work contributes to safer, faster obstacle avoidance in autonomous navigation. Though their citation counts are modest, Galsanbadam’s research demonstrates a clear trajectory from foundational control theory to practical robotics applications, highlighting their commitment to solving real-world engineering problems with elegant, computationally efficient approaches.