Person Following Robot (PFR) is recently a very popular research for mobile robots. PFR is widely developed by many researchers and labs. Three main functions of the robot that needed to be considered to develop a Person Following Robot are hardware mechanism, tracking mechanism, and following control system. To make certain that the mobile robot able to follow the leader (human), the robot should be able to track the leader whether in front, side-by-side, or behind the robot. Most researches develop tracking system by using sensor fusion especially laser and vision sensor. After the mobile robot tracked the correct target, then following algorithm is designed to make the mobile robot follow the target. This is also known as robot control, where robot receives input of tracking data and output the movement of the robot accordingly. There are various methods of control algorithm, from the simplest trajectory following algorithm to a highly complex behavior based model. This paper covers the review of the latest trend in person following robot control algorithm.