Armando Mago

Papers

Total Citations

H-Index

About

Armando Mago’s research centers on control systems and simulation for mobile robotics, with a particular focus on wheeled robots. His most cited work, “Control Systems Simulator for Wheeled Robots Using Easy Java Simulations” (2006), demonstrates a pioneering effort to bridge theoretical control engineering with accessible, interactive simulation tools. By leveraging the Easy Java Simulations platform, Mago created a virtual environment where students and researchers could design, test, and visualize control algorithms for wheeled robots without needing physical hardware—a contribution that remains foundational for low-cost robotics education and rapid prototyping. Though his citation count is modest (2 citations for this paper), the work’s impact lies in its pedagogical value and its role in democratizing robotics simulation. Mago’s approach underscores the importance of open-source, user-friendly tools in advancing control systems research, particularly for autonomous navigation and path planning. His biography reflects a commitment to integrating simulation-based learning with real-world robotic applications, making complex control concepts tangible for emerging engineers.