Voice-based motion control of a robotic vehicle through visible light communication

Abstract

Abstract Robotic vehicles and their applications have gained widespread significance in recent times in order to automate every sphere of human activities. Besides, it invites a great deal of attention in environments where human presence or intervention becomes very difficult and in most cases not being possible. The paper therefore proposes a voice based movement and evolves a direction control scheme for a robotic vehicle in a Light Fidelity (Li-Fi) medium with a view to exploit its available enormous bandwidth. Choice of Li-Fi as a medium owes to its quick response time and ability to respond to voice based commands. It engages the role of an artificial neural network (ANN) for recognizing the syllables through Levenberg–Marquardt training algorithm. The scheme relies on two sets of instructions issued to the vehicle controlled by the Arduino controller, which allows acting in accordance to the instruction recognized by the voice recognition module.