This thesis investigates the application of Large Language Models (LLMs) for robotic control and navigation using natural language instructions, focusing both on simulations and real world. The research is structured in three progressive phases, beginning with a 2D environment simulation, in this phase the the LLM calculated parameters like velocity, time, and angular velocity to move a mobile robot. A second approach based on functions that calculate the parameters themselves was also tried, to eliminate the overhead of calculations given to the model. The second phase introduced a 3D environment simulation utilizing the Gazebo simulator within the Robot Operating System (ROS) framework.