Santiago Ramos Garces

Papers

Total Citations

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About

Santiago Ramos Garces is a robotics researcher whose work bridges control systems, artificial intelligence, and autonomous mobile platforms. His primary research focuses on developing intelligent control strategies for robotic systems, with particular emphasis on optimal PID controller design and self-balancing robot architectures. In his most cited work, Garces introduced a novel application of the Bat-Inspired Algorithm for optimizing PID controllers in 2-DOF drawing robots, demonstrating how bio-inspired metaheuristics can enhance precision in robotic manipulation tasks. This paper has accumulated 18 citations, establishing a foundation for adaptive control in educational and industrial robotics. His subsequent research on hybrid self-balancing and object tracking robots (7 citations) represents a significant advancement in integrating artificial intelligence with machine vision for two-wheeled autonomous platforms. By combining real-time balance control with visual tracking capabilities, Garces has contributed to making mobile robots more versatile and responsive in dynamic environments. His work addresses critical challenges in robot stability and autonomous navigation, offering practical solutions that have implications for service robotics and automated material handling.