Intelligent Voice-Controlled Robotic Vehicle for Indoor/Outdoor Navigation

Authors

  • Vaibhavi More Students, Department of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Aditi Jadhav Students, Department of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Kaveri Bhalerao Students, Department of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Prachi Ghumare Students, Department of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author

Keywords:

Voice-controlled robotic vehicle, indoor/outdoor navigation, speech recognition, artificial intelligence, autonomous navigation

Abstract

This paper presents the design and development of an intelligent voice-controlled robotic vehicle for indoor/outdoor navigation. The proposed system utilizes a combination of speech recognition, artificial intelligence, and robotic navigation to enable users to control the vehicle using voice commands. The vehicle is equipped with a range of sensors, including GPS, lidar, and cameras, to enable autonomous navigation and obstacle avoidance. The system has been tested in various indoor and outdoor environments, demonstrating its ability to accurately respond to voice commands and navigate complex routes. The proposed system has potential applications in areas such as healthcare, transportation, and search and rescue, where voice-controlled robotic vehicles can provide enhanced mobility and assistance.

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References

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Published

24-03-2025

Issue

Vol. 12 No. 2 (2025): March-April

Section

Research Articles

License

Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vaibhavi More, Aditi Jadhav, Kaveri Bhalerao, and Prachi Ghumare, “Intelligent Voice-Controlled Robotic Vehicle for Indoor/Outdoor Navigation”, Int J Sci Res Sci Eng Technol, vol. 12, no. 2, pp. 440–443, Mar. 2025, Accessed: Mar. 26, 2025. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET25122151

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