Internet-Based Robotic Control System Via Android Platform

Lor, Sheng Qin (2017) Internet-Based Robotic Control System Via Android Platform. Project Report. UTeM, Melaka. (Submitted)

Text Internet-Based Robotic Control System Via Android Platform - Lor Sheng Qin - 24 pages.pdf Download (163kB)

Abstract

As Internet of Things (IoT) emerges to become popular and rapidly growing in this era, it allows people to connect all sensors that interact in our daily life for various purpose. Aside from real time data monitoring, data collection and exchanging, this concept aimed to transfer data without human interaction with machine. Nowadays, with the combination of low-cost components that can be easily obtain from electronic stores, IoT can be made possible by self learning and hands-on projects. There are problems of accessing places or areas that are unfit for human such as collapse building, radioactive factory, explosive device area or even disaster area. Human are prone to life-threatening diseases and injuries while mobile robot does not, the parts can be replaced whenever damaged while human cannot. Hence, this project proposed a Arduino powered Omni-wheel mobile robot that can be control with Android device through internet wirelessly. Objectives involved are design and develop a mobile robot that can be controlled by Android platform device wirelessly, develop an Android application for mobile robot control and analyse the distance and obstacle detection using sensor. This system involves two interrelated components which are Android platform application and mobile robot, as objectives both will communicate and interact with each others through cloud server. Obstacle detection system is added to the mobile robot, where it can detects obstacle ahead using multiple sensors. Reliability study of the mobile robots which includes the translational motion, rotational motion, data transmission test and obstacle detection test had been carried out. Each experiment on the mobile robot will be repeated 10 times to increase accuracy as well as consistency, results are tabulated with average value. Expected results would be successful control of mobile robot using Android application and obstacle detection system is successfully deployed. These analysis will make way for future researcher in making IoT mobile robot more successful.

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