Low Cost Autonomous Robot Cleaner using Mapping Algorithm based on Internet of Things (IoT)

Autor: K N F Ku Azir, R J Ong
Rok vydání: 2020
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 767:012071
ISSN: 1757-899X
1757-8981
Popis: The objective of this study is to design and develop a low-cost Arduino autonomous robot cleaner using mapping algorithm to clean floor area of houses or offices. The idea is basically to detect any obstacles with the help of sensor and sent its output to microcontroller that will control the autonomous vacuum cleaner movement. A low-cost solution is proposed in this study by using HC-SR04 ultrasonic sensor for obstacle avoidance and control by Arduino UNO. By using an autonomous vacuum cleaner, user can turn ON the autonomous vacuum robot to clean without any help of a human operator. Wall mapping and random mapping is being applied in this study to find the effective mapping algorithm for autonomous robot cleaner. Additionally, instead of using the traditional button or switch to activate the robot, voice recognition through Google Assistant implemented in this project. Hence, this provides a more user friendly platform not only for normal user but also help visually impaired people to activate the robot.
Databáze: OpenAIRE