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Voice Control of Robots: Review and Implementation
ME-C-29
Evgeny Sheymovich; ijenia@gmail.com
Advisor: Dr. Etan Fisher
SCE - Shamoon College of Engineering, Be’er-Sheva
This project presents the development of a voice control interface for an existing robot, using the “EasyVR 3” speech recognition module and an “Arduino” microcontroller. The goal is to improve human-robot interaction by enabling voice control commands. A comparative review of speech recognition technologies was conducted, followed by successful integration of the voice module with the robot. Preliminary testing assessed recognition accuracy, response time, and robustness to ambient noise. The system demonstrates a practical, low-cost solution for voice-controlled robotics and serves as a foundation for further development of accessible and intuitive robotic applications.
Keywords: “Arduino”, human-robot interaction, robotics, speech recognition, system integration, voice control, voice interface
Portable Interactive Robotic Music System
ME-C-30
Asher Nechushtan; asher110@gmail.com Noam Dimri; noamos3313@gmail.com
Advisor: Dr. Etan Fisher
SCE - Shamoon College of Engineering, Be’er-Sheva
The goal of this project is to make the experience of playing music accessible to individuals with motor disabilities that limit their ability to use traditional musical instruments, as well as to those undergoing physical rehabilitation after injury. To achieve this, we are developing a smart glove equipped with flex and motion sensors that detect real-time hand and finger movements. The collected data is processed by a digital microcontroller and converted into musical commands via the ‘musical instrument digital interface’ (MIDI) protocol, allowing the generation of sounds in music software, such as “Cubase”. We developed a simple, graphical interface that intuitively demonstrates the system’s functionality. Our system serves as a proof of concept and foundation for developing personalized tools for rehabilitation and musical expression.
Keywords: accessibility, music, rehabilitation, smart glove
Book of Abstracts | 2025
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