Miguel Velazquez

Center for Engineering and Industrial Development

Papers

Total Citations

H-Index

About

Miguel Velazquez is a robotics and control systems researcher whose work bridges industrial automation and autonomous vehicle dynamics. His key research areas include indoor robot localization, motion control, and self-balancing vehicle systems. Velazquez’s major contribution lies in developing practical algorithms for real-world robotic applications. His most cited work, “Indoor Robot Positioning Using an Enhanced Trilateration Algorithm” (2016, 52 citations), introduces a novel approach to positioning wheeled robots on factory floors using radio-frequency distance measurement and trilateration, significantly improving accuracy in industrial environments. This work has been foundational for researchers working on indoor navigation without GPS. In another influential paper, “Velocity and Motion Control of a Self-Balancing Vehicle Based on a Cascade Control Strategy” (2016, 28 citations), Velazquez presents a cascade controller that simultaneously manages balancing and angular velocity, validated through rigorous simulation. This work demonstrates his ability to tackle complex, nonlinear control problems with elegant, implementable solutions. With over 80 combined citations, Velazquez’s research is recognized for its direct applicability to manufacturing and personal transportation technologies, making him a notable figure in applied robotics and control engineering.