HUMAN FOLLOWING ROBOT

Abstract

The Human Following Robot project focuses on the design and development of an autonomous mobile robot capable of detecting, tracking, and following a person without continuous manual control. Such robots can be useful in applications such as personal assistance, luggage transportation, healthcare support, warehouses, and service robotics. The main objective of the project is to develop a robot that can maintain a suitable distance from a person while moving safely and efficiently. The proposed robot consists of components such as a microcontroller, motors, motor driver, sensors, camera, and power supply. Distance and motion sensors are used to detect the position of a person and obstacles in the robot's path. A camera or suitable human-detection sensor can be integrated to identify and track the target person. The microcontroller processes the sensor information and generates appropriate control signals for the motors. Based on the detected person's position and distance, the robot can move forward, backward, left, or right to maintain the required following distance. Obstacle detection helps the robot avoid collisions while following the person. The control algorithm continuously receives sensor information and adjusts the robot's movement according to changes in the person's position. The system combines robotics, embedded systems, sensors, motor control, and human-tracking technology to achieve autonomous following behavior. The design can be further improved using artificial intelligence and computer vision techniques for more accurate person identification and tracking.