Carlos Miguel Soria

Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID

Francisco G. Rossomando, Carlos Miguel Soria, 2014, Neural Computing and Applications.

Optical Flow Calculation Using Data Fusion with Decentralized Information Filter

Teodiano Freire Bastos Filho, Daniel Gamarra, Mário Sarcinelli Filho, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Sliding Mode Neuro Adaptive Control in Trajectory Tracking for Mobile Robots

Ricardo O. Carelli, Francisco G. Rossomando, Carlos Miguel Soria, 2014, J. Intell. Robotic Syst..

Combined force and visual control of an industrial robot

Ricardo O. Carelli, Oscar Nasisi, Carlos Miguel Soria, 2004, Robotica.

Robotic wheelchair controlled through a vision-based interface

Teodiano Freire Bastos Filho, Oscar Nasisi, Carlos Miguel Soria, 2011, Robotica.

Sliding mode Neuro-adaptive controller designed in discrete Time for Mobile robots

Ricardo O. Carelli, Francisco G. Rossomando, Carlos Miguel Soria, 2018, Mechatron. Syst. Control..

Switching visual servoing approach for stable corridor navigation

P. Fiorini, Ricardo O. Carelli, Flavio Roberti, 2009, 2009 International Conference on Advanced Robotics.

Homography-Based Tracking Control for Mobile Robots

Lizardo Pari, José M. Sebastián, Alberto Traslosheros, 2008, ICIAR.

Discrete-time sliding mode neuro-adaptive controller for SCARA robot arm

Francisco G. Rossomando, Carlos Miguel Soria, F. Rossomando, 2017, Neural Computing and Applications.

Aerial Load Transportation with Multiple Quadrotors Based on a Kinematic Controller and a Neural SMC Dynamic Compensation

Mário Sarcinelli Filho, Ricardo O. Carelli, Javier Gimenez, 2020, J. Intell. Robotic Syst..

Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties

Ricardo O. Carelli, Francisco G. Rossomando, Carlos Miguel Soria, 2013, Eng. Appl. Artif. Intell..

Adaptive trajectory tracking control for quadrotors with disturbances by using generalized regression neural networks

Javier Moreno-Valenzuela, Ricardo O. Carelli, Francisco G. Rossomando, 2021, Neurocomputing.