Luciana Martinez

Papers

Total Citations

149

H-Index

About

Luciana Martinez is a leading researcher in mobile robotics and advanced control systems, with a primary focus on the modeling, estimation, and compensation of friction in wheeled omnidirectional platforms. Her most influential work, "Design and Implementation of Model-Predictive Control With Friction Compensation on an Omnidirectional Mobile Robot" (2013, 137 citations), demonstrates a pioneering approach to trajectory tracking. In this study, Martinez integrated a model-predictive control (MPC) scheme with a cascade structure and friction compensation, achieving superior precision in real-time robot navigation. This paper remains a cornerstone reference for researchers tackling the challenge of nonlinear friction in autonomous systems. In her subsequent work, "Modeling and friction estimation for wheeled omnidirectional mobile robots" (2015, 12 citations), she introduced a novel static friction model and a least-squares method for estimating friction coefficients directly from experimental data. By bridging theoretical modeling with practical implementation, Martinez has significantly advanced the reliability and accuracy of omnidirectional robots, making her contributions essential for students and engineers developing robust, high-performance autonomous vehicles.