Build an ESP32 Voice Controlled Drone with LiteWing using Python

This voice-controlled aerial robotics system integrates speech recognition algorithms with microcontroller hardware to process spoken commands and translate them into physical flight maneuvers. At the center of the system is the ESP32 microcontroller, which communicates with the LiteWing drone framework. The workflow begins at a laptop or PC equipped with a microphone, where Python 3 runs alongside the Vosk speech recognition library and PyAudio. Vosk performs offline speech-to-text processing, converting spoken phrases into discrete text commands without relying on cloud-based processing. Once a valid command is recognized, a Python script uses the LiteWing library to transmit flight instructions wirelessly or via serial communication to the ESP32 DevKit v1 board on the drone. For precise spatial awareness, the LiteWing positioning module must be installed correctly with its arrow aligned toward the USB-C port. The ESP32 interprets these incoming commands, managing the motor outputs powered by the onboard battery while keeping wiring safely routed away from the spinning propellers. The system relies on proper firmware execution to bridge the gap between human vocal input and real-time drone actuation, allowing undergraduate engineering students to explore the intersection of audio processing, wireless communication, and embedded systems.