Optimization of crude oil blending with neural networks. - Wen Yu 001; José de Jesús Rubio; América Morales (CDC, 2004)

Neural networks for the optimization of crude oil blending. - Wen Yu 001; América Morales (Int. J. Neural Syst., 2005)

Merging Strategy for Vehicles by Applying Cooperative Tracking Control. - América Morales; Henk Nijmeijer (IEEE Trans. Intell. Transp. Syst., 2016)

Hierarchical Task-Based Control of Multirobot Systems With Terminal Attractors. - Gustavo Arechavaleta; América Morales-Díaz; Hector M. Perez-Villeda; Mario Castelán (IEEE Trans. Control. Syst. Technol., 2017)

Free Model Task Space Controller Based on Adaptive Gain for Robot Manipulator Using Jacobian Estimation. - Josué Gómez; Chidentree Treesatayapun; América Morales (MICAI (2), 2018)

Incorporation of acoustic sensors in the regulation of a mobile robot. - C. A. Luna-Aguilar; América Morales-Díaz; Mario Castelán; C. Nadeu (Adv. Robotics, 2019)

Predefined-Time Robust Hierarchical Inverse Dynamics on Torque-Controlled Redundant Manipulators. - Jonathan Obregón-Flores; Gustavo Arechavaleta; Héctor M. Becerra 001; América Morales-Díaz (IEEE Trans. Robotics, 2021)

Data-driven-modelling and Control for a Class of Discrete-Time Robotic System Using an Adaptive Tuning for Pseudo Jacobian Matrix Algorithm. - Josué Gómez; América Morales; Chidentree Treesatayapun; Rodrigo Muñiz (MICAI (2), 2022)

Coordination of a Swarm of Unicycle Robots via First-Order Dynamic Couplings. - Isaac Ruiz-Ramos; América Morales; Jonatan Pena Ramirez (IEEE Access, 2022)

Data-Driven Kinematic Control with Adaptive Gains for a Redundant Robot. - Antonio Saldivar-Mendez; Josue Gomez-Casas; América Morales-Díaz (CCE, 2024)

Hierarchical Drone Navigation Control for Ensuring Safety with Stationary Humans. - Rodolfo Villalobos-Salazar; Abimael Contreras-Carlos; Carlos A. Toro-Arcila; América Morales-Díaz (CCE, 2024)

A novel image dataset for detecting and classifying mobility aid users. - Sonia Dávila-Soberón; América Morales-Díaz; Mario Castelán (Expert Syst. Appl., 2025)