Creation of a Cost-Efficient and Effective Personal Assistant Robot using Arduino & Machine Learning Algorithm

Abstract

This paper represents a personal assistant robot called Metacarpus. This shows one of the modern implementations of such revolutionary project which not only showcases a regular assistant, whereas, it has been designed to be controlled by the user's voice, recognize his instruction and assist any disabled people in any type of endangerment, to accompany him/her in any difficult situation where they can't handle themselves. In this project, Metacarpus was designed with a well-engineered mechanical design. It speaks with people, understands the owner, and recognizes people's faces& voices. It can do all works which a secretary is doing, including medical operations, army carrier, path detector for the disabled, etc. Metacarpus is a convenient, handy, transportable, and intelligent robot. We used Arduino UNO Microcontroller, Raspberry Pi, Motor Drivers, Buck Converters, DC Motors, Servo Motors, Actuators, and other miscellaneous electrical components in this project. This project uses an efficient Neural Network algorithm to detect objects with high accuracy. It is showing positive results in making autonomous decisions, recognizing users, and making intelligent decisions by themselves.