Settlement of applied technologies to the analysis of the trajectories of a robot mobile in a space with obstacles

Abstract

Artificial Intelligence (AI) technology concatenates a diverse range of technologies transverse to different disciplinary fields. This is the case of the navigation of autonomous mobile robots when they must perform tasks of different complexity in a structured environment. This production focuses its work on the behavior recorded by mobile robots in navigation environments in collision configuration spaces, in which the structures remain fixed while the robot performs the operations required by the user. The first experiments were supported by the application of Intelligent Technologies of Artificial Neural Networks (ANN), which were entered into the implementation of the supervised learning algorithm of backpropagation of error (backpropagation). Currently, and with the purpose of improving the performance of the mobile robot with the applied technology, experiments are carried out by applying intelligent algorithms with a deliberative paradigm, which are oriented towards the planning of tasks within their operating environment.