With the emergence of continuously improving imaging and image processing technologies comes the challenge of applying those technologies to create robots that can make navigational decisions based on visual inputs. In this project, a human-following robot is designed and implemented using the Microsoft Kinect v2 system for PC. This system feeds the robot both color and depth information from the environment in front of it, allowing it to navigate obstacles and follow a specific user. The Kinect is used to find the user’s location with respect to the robot, based primarily on what the user is wearing and where the user was last seen. This information is fed to the on-board PC, which uses it to make path-planning decisions and drive the robot’s wheels through communication with a PIC18 microcontroller. This system could be used in a variety of applications, such as shopping carts, airport luggage carriers, or even robotic pets
