David Sotelo

Papers

Total Citations

H-Index

About

David Sotelo is a researcher whose work bridges the critical intersection of advanced control theory and autonomous robotics. His primary contributions lie in the development of novel predictive control strategies, most notably his work on discrete-time nonlinear model predictive control (NMPC) based on state space models. This highly cited paper (21 citations) provides a sophisticated framework for handling complex, real-time control problems, offering significant improvements in stability and performance for nonlinear systems. Beyond theoretical control, Sotelo has made impactful contributions to the practical world of multi-agent robotics through his leadership of the Eagle Knights RoboCup Small Size League team. His work on this project details the complete architecture of a competitive soccer-playing robot team, encompassing vision systems, artificial intelligence, and robust robot design. This hands-on achievement demonstrates his ability to translate complex control and AI principles into functioning, high-performance autonomous systems, showcasing a rare blend of theoretical depth and practical engineering prowess.