Events10th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S5. Robotics, Sensors and Industry 4.0 of the event 10th International Electronic Conference on Sensors and Applications
Published date
15 Nov, 2023
Academic Editor
author-avatarStefano Mariani
Citation
Abubakar Umar, Development of an Android Based Voice Controlled Autonomous Robotic Vehicle, in Proceedings of 10th International Electronic Conference on Sensors and Applications, 15 November–30 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-10-16026
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Development of an Android Based Voice Controlled Autonomous Robotic Vehicle

1. Computer Engineering Department, Ahmadu Bello University, Zaria, Nigeria
Abstract

This research presents the development of an android based voice controlled autonomous robotic vehicle. The research was developed in a way that the robotic vehicle was controlled using voice commands. An android application combined with an Arduino microcontroller was used to achieve this task. The connection between the android app and the autonomous vehicle was facilitated using Bluetooth technology. The vehicle was controlled with either the aid of the buttons on the app or by spoken commands by the user. The movement of the vehicle was achieved by the four DC motors connected with the microcontroller at the receiver side. The commands from the app was converted into digital signals using the Bluetooth RF transmitter for a specific range (about 100 meters) to the autonomous vehicle. At the receiver end that data gets decoded by the receiver and is being fed to the microcontroller which moves the DC motors of the vehicle for navigation. The voice controlled autonomous robotic vehicle performed navigational tasks by listening to the command of the user. This was achieved by converting the voice commands into text string on the android app, which will be readable by the Arduino microcontroller for controlling the navigation of the robot. The vehicle was tested under different conditions, and was observed to perform better using this technique and also the results was satisfactorily when compared with other research works.

Keywords
Voice control
Autonomous Robot
Android
Arduino
Bluetooth
microcontroller
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