Kasno, Mohammad `Afif and Mohamad Yatim, Norazlina and Kang, Tae-Won and Hee, Jo Min and Nam, JunWoo and Jung, Jin-Woo (2024) Voice-controlled navigation for TurtleBot3 using ROS Noetic and speech recognition. In: 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 16 October through 18 October 2024, Korea.
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Voice-Controlled Navigation for TurtleBot3 using ROS Noetic and Speech Recognition.pdf Restricted to Registered users only Download (392kB) |
Abstract
This study presents a unique approach for operating the TurtleBot3 Waffle-Pi robot with voice instructions using the ROS Noetic framework. The system uses the SpeechRecognition library to translate voice inputs into movement commands, with the goal of improving user engagement and providing an intuitive control mechanism that can be applied to a variety of domains including assistive robotics. The system naturally interfaces with ROS Noetic, which uses Python for scripting and control logic. The method entails real-time recording audio with a microphone, filtering it to remove noise, then interpreting commands with Google's speech recognition API. For the TurtleBot3, commands like “forward,” “back,” “left,” “right,” and “stop” are assigned to matching movements. Noise filtering and command disambiguation problems are solved by modifying the recognizer's energy threshold and using a dynamic energy threshold. A complete test was carried out in controlled situations to determine command recognition accuracy, response time, and navigation precision. The results showed good reliability and effectiveness, with accurate command recognition and minimum reaction delay.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Turtlebot3, Ros noetic, Voice control, Speech recognition, Mobile robotics |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | Wizana Abd Jalil |
| Date Deposited: | 30 Oct 2025 07:14 |
| Last Modified: | 30 Oct 2025 07:14 |
| URI: | http://eprints.utem.edu.my/id/eprint/29134 |
| Statistic Details: | View Download Statistic |
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