This paper presents a way of implementing a model-based predictive controller (MBPC) for
mobile robot navigation when unexpected static obstacles are present in the robot …

This paper presents a way of implementing a model-based predictive controller (MBPC) for
mobile robot path tracking. The method uses a non-linear model of mobile robot dynamics …

This article deals with the reactive control of an autonomous robot, which moves safely in a
crowded real-world unknown environment and reaches a specified target by avoiding static …

This paper presents a way of implementing a model-based predictive controller (MBPC) for
mobile robot navigation using genetic algorithms to perform online nonlinear optimization …

The paper proposes a neural networks approach to the solution of the tracking problem for
mobile robots. Neural networks based controllers are investigated in order to exploit the …

This paper presents a Learning-based Nonlinear Model Predictive Control (LB-NMPC)
algorithm for an autonomous mobile robot to reduce path-tracking errors over repeated …

This technical note proposes a novel navigation planner for mobile robots based on an
adapted version of passivity-based nonlinear model predictive control. The proposed …

This article presents an artificial neural network (ANN) structure applied to control a mobile
robot movement in dynamically changing environments (environments with mobile …

This paper presents a nonlinear model based predictive controller (NMPC) for trajectory
tracking of a mobile robot. Methods of numerical optimization to perform real time nonlinear …

A real-time multiprocessor system is proposed for the solution of the tracking problem of
mobile robots operating in a real context with environmental disturbances and parameter …