Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis
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 o...
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| Format: | Article |
| Language: | en |
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Multidisciplinary Digital Publishing Institute (MDPI)
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29236/2/0270208102025176412281.pdf http://eprints.utem.edu.my/id/eprint/29236/ https://www.mdpi.com/2673-4052/6/3/25 https://doi.org/10.3390/automation6030025 |
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| author | Al Gburi, Ahmed Jamal Abdullah Gupta, Sandeep Mamodiya, Udit |
| author_facet | Al Gburi, Ahmed Jamal Abdullah Gupta, Sandeep Mamodiya, Udit |
| author_sort | Al Gburi, Ahmed Jamal Abdullah |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.utem.eprints-29236 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2025 |
| publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
| record_format | eprints |
| spelling | my.utem.eprints-292362025-12-12T01:56:37Z http://eprints.utem.edu.my/id/eprint/29236/ Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis Al Gburi, Ahmed Jamal Abdullah Gupta, Sandeep Mamodiya, Udit 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. Multidisciplinary Digital Publishing Institute (MDPI) 2025 Article PeerReviewed text en cc_by_4 http://eprints.utem.edu.my/id/eprint/29236/2/0270208102025176412281.pdf 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 https://www.mdpi.com/2673-4052/6/3/25 https://doi.org/10.3390/automation6030025 |
| spellingShingle | Al Gburi, Ahmed Jamal Abdullah Gupta, Sandeep Mamodiya, Udit Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title | Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title_full | Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title_fullStr | Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title_full_unstemmed | Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title_short | Speech recognition-based wireless control system for mobile robotics: Design, implementation, and analysis |
| title_sort | speech recognition-based wireless control system for mobile robotics: design, implementation, and analysis |
| url | http://eprints.utem.edu.my/id/eprint/29236/2/0270208102025176412281.pdf http://eprints.utem.edu.my/id/eprint/29236/ https://www.mdpi.com/2673-4052/6/3/25 https://doi.org/10.3390/automation6030025 |
| url_provider | http://eprints.utem.edu.my/ |