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Design and Construction of a Voice-Controlled Robotic Vehicle Using Arduino


Authors : Busari Olukayode Ayodeji; Adeaga Iyabo Ibiyemi; Oyetoso Modupeolu Opeyemi; Afenifere Yusuff Babatunde

Volume/Issue : Volume 11 - 2026, Issue 7 - July


Google Scholar : https://tinyurl.com/2f3xzbxu

Scribd : https://tinyurl.com/ya3kdbt6

DOI : https://doi.org/10.38124/ijisrt/26jul322

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper presents the design and construction of a voice-controlled robotic vehicle built around an Arduino Uno microcontroller, enabling a user to direct vehicle movement through spoken commands rather than manual or radiofrequency controllers. The system integrates an Arduino Uno, an L298N motor driver, an HC-05 Bluetooth module, an ultrasonic sensor, servo motors, and a regulated power supply. Voice input is captured through a smartphone application, converted to text, and transmitted over Bluetooth for execution. On reception, the Arduino interprets the command and drives a four-wheel-drive gear-motor chassis through the L298N driver, producing forward, backward, left, and right movement in response to verbal instruction. The study reviews existing approaches to robot control—including Bluetooth, Wi-Fi, radio-frequency, and gesture-based systems—and situates voice control as a simpler, more user-friendly alternative that reduces reliance on physical interfaces. Testing confirmed that the assembled prototype responded reliably to the programmed voice commands after routine troubleshooting, demonstrating the feasibility of low-cost, microcontrollerbased voice control for mobile robotics. The work is positioned as a foundation for assistive and automation technologies, with anticipated applications in mobility aids for persons with disabilities, surveillance, and hazardous-environment operations, and it concludes with recommendations for extending the platform with obstacle avoidance, thermal sensing, and additional payload modules.

Keywords : Voice Recognition; Arduino Microcontroller; Bluetooth Communication; Robotic Vehicle; Embedded Systems; Human– Machine Interaction; Assistive Technology.

References :

  1. Ansari, S., & Kadam, P. (2021). Design and development of automated solar panel cleaning robot. International Journal of Analytical and Experimental Modal Analysis.
  2. Chaudhry, A. (2019). Arduino based voice-controlled robot.
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  10. Saravanan, M., Selvababu, B., Jayan, A., Anand, A., & Raj, A. (2020). Arduino based voice controlled robot vehicle.
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  12. Sharma, A., Verma, R., Gupta, S., & Bhatia, S. K. (2014). Android phone-controlled robot using Bluetooth. International Journal of Electrical, Electronics and Computer Engineering, 7, 443–448.
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This paper presents the design and construction of a voice-controlled robotic vehicle built around an Arduino Uno microcontroller, enabling a user to direct vehicle movement through spoken commands rather than manual or radiofrequency controllers. The system integrates an Arduino Uno, an L298N motor driver, an HC-05 Bluetooth module, an ultrasonic sensor, servo motors, and a regulated power supply. Voice input is captured through a smartphone application, converted to text, and transmitted over Bluetooth for execution. On reception, the Arduino interprets the command and drives a four-wheel-drive gear-motor chassis through the L298N driver, producing forward, backward, left, and right movement in response to verbal instruction. The study reviews existing approaches to robot control—including Bluetooth, Wi-Fi, radio-frequency, and gesture-based systems—and situates voice control as a simpler, more user-friendly alternative that reduces reliance on physical interfaces. Testing confirmed that the assembled prototype responded reliably to the programmed voice commands after routine troubleshooting, demonstrating the feasibility of low-cost, microcontrollerbased voice control for mobile robotics. The work is positioned as a foundation for assistive and automation technologies, with anticipated applications in mobility aids for persons with disabilities, surveillance, and hazardous-environment operations, and it concludes with recommendations for extending the platform with obstacle avoidance, thermal sensing, and additional payload modules.

Keywords : Voice Recognition; Arduino Microcontroller; Bluetooth Communication; Robotic Vehicle; Embedded Systems; Human– Machine Interaction; Assistive Technology.

Paper Submission Last Date
31 - July - 2026

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