Exploring natural voice commands to pilot a quadcopter in real time.
This student project investigated how speech recognition can be mapped to drone navigation. Using a microcontroller and a voice recognition module, we built a quadcopter that could respond to commands such as “take off,” “forward,” “backward,” “left,” “right,” and “land.”
The goal was to make drone interaction more natural and accessible by removing traditional joystick controls. Challenges included noisy environments, stabilizing the drone while parsing commands, and designing a lightweight prototype. The demo successfully showed how spoken words could directly translate into flight instructions, sparking ideas for future human-drone interactions.