Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis

Al Gburi, Ahmed Jamal Abdullah and Gupta, Sandeep and Mamodiya, Udit (2025) Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis. Automation, 6 (3). pp. 1-28. ISSN 2673-4052

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Abstract

This paper describes an innovative wireless mobile robotics control system based on speech recognition, where the ESP32 microcontroller is used to control motors, facilitate Bluetooth communication, and deploy an Android application for the real-time speech recognition logic. With speech processed on the Android device and motor commands handled on the ESP32, the study achieves significant performance gains through distributed architectures while maintaining low latency for feedback control. In experimental tests over a range of 1–10 m, stable 110–140 ms command latencies, with low variation (±15 ms) were observed. The system’s voice and manual button modes both yield over 92% accuracy with the aid of natural language processing, resulting in training requirements being low, and displaying strong performance in high-noise environments. The novelty of this work is evident through an adaptive keyword spotting algorithm for improved recognition performance in high-noise environments and a gradual latency management system that optimizes processing parameters in the presence of noise. By providing a user-friendly, real-time speech interface, this work serves to enhance human–robot interaction when considering future assistive devices, educational platforms, and advanced automated navigation research.

Item Type:	Article
Uncontrolled Keywords:	Speech recognition, Mobile robotics, ESP32, Bluetooth communication, Android interface, Voice control systems, Human–robot interaction, Vosk speech recognition, Real-time control, Distributed processing, Embedded systems
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	12 Dec 2025 01:56
Last Modified:	12 Dec 2025 01:56
URI:	http://eprints.utem.edu.my/id/eprint/29236
Statistic Details:	View Download Statistic

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