摘要：In this study it is present a review of artificial intelligence algorithms applied to robotic agents,emphasizing learning from Convolutional Neural Networks (CNN). For the construction of this review, abibliographical research was carried out in the databases of scientific articles, research journals andtechnological advances where the most important works are described which implement different methods ina variety applications such as autonomous vehicles, robots for space exploration and robotic manipulators inthe planning of trajectories making use of CNN. Artificial Intelligence (AI) is defined as the technique in whichthere are developed algorithms capable of reasoning, learning and making decisions based on experience. Thistechnique has achieved its interaction with robotic agents getting to create what is now known as intelligentrobots, capable of solving and performing multiple tasks of daily life but like all developing science it is stillpossible to optimize and improve their algorithms to achieve human precision, referred to the manner andefficiency with which a human develops different types of activities. As a result, some of the applications thatare available to people will be presented in order to highlight the extent to which this synergy of technologieshas reached its development.
