Social navigation has seen a considerable number of developments in the last few years, considering that the possible tasks that a robot can perform while being aware of the presence of other people are numerous. There are many aspects of socially aware navigation that contribute to the achievement of the current objective, but this thesis focuses on the local planner, also known as the local controller. The controller handles the information around the robot to send the velocity command that controls the rotational and translational speed of the robot. The main objective of this thesis is to compare the performance of two different algorithms, namely the DWA and the MPPI, in a set of laboratory experiments.