This project aims to identify and analyze trends in artificial intelligence models applied to robotics, with a special emphasis on reinforcement learning (RL). This will be achieved by using databases such as Epoch, IEEE Xplore, Scopus, Google Scholar, arXiv, Web of Science, etc. Through bibliometric and content analysis, the study will examine publication and collaboration patterns, as well as predominant topics and methods. Additionally, the evolution and scalability of these models will be compared with those in the field of language using predictive analysis techniques. The goal is to provide an informed basis for applying regulations that promote innovation and ensure the ethical development of technology.