This project focuses on the development of a sophisticated mobile dancing robot capable of dynamically responding to musical inputs. The robot is outfitted with 19 servos and an array of sensors and components, enabling it to synchronize its movements precisely with audio signals. At the heart of this system is the Arduino Mega, serving as the central control unit that orchestrates the robot’s operations with precision and reliability. Key components driving this innovation include the PCA9685 module, which efficiently manages multiple servos, and the MAX4466 microphone amplifier, which is crucial for accurate sound level detection. Additionally, the MPU6050 sensor is employed for real-time control of upper limb movements, ensuring that the robot’s gestures are both fluid and responsive. The MSGEQ7 audio spectrum analyzer plays a pivotal role by dividing audio into seven frequency bands, allowing the robot to execute movements that are intricately linked to distinct audio frequencies. The development process involved meticulous selection and assembly of the mechanical structure, coupled with the programming of an advanced control system. Sensor calibration was a critical step, ensuring the robot’s responses to audio inputs were both precise and consistent. Each component was seamlessly integrated, resulting in smooth, coordinated movements that reflect the music’s rhythm, intensity, and frequency.

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Dynamic Music-Responsive Robotics: Development of a Mobile Dancing Robot for Interactive Performance

  • Qixin Xian,
  • Sami Salama Hussen Hajjaj

摘要

This project focuses on the development of a sophisticated mobile dancing robot capable of dynamically responding to musical inputs. The robot is outfitted with 19 servos and an array of sensors and components, enabling it to synchronize its movements precisely with audio signals. At the heart of this system is the Arduino Mega, serving as the central control unit that orchestrates the robot’s operations with precision and reliability. Key components driving this innovation include the PCA9685 module, which efficiently manages multiple servos, and the MAX4466 microphone amplifier, which is crucial for accurate sound level detection. Additionally, the MPU6050 sensor is employed for real-time control of upper limb movements, ensuring that the robot’s gestures are both fluid and responsive. The MSGEQ7 audio spectrum analyzer plays a pivotal role by dividing audio into seven frequency bands, allowing the robot to execute movements that are intricately linked to distinct audio frequencies. The development process involved meticulous selection and assembly of the mechanical structure, coupled with the programming of an advanced control system. Sensor calibration was a critical step, ensuring the robot’s responses to audio inputs were both precise and consistent. Each component was seamlessly integrated, resulting in smooth, coordinated movements that reflect the music’s rhythm, intensity, and frequency.