Alpha: A Quadruped Robot Integrating Edge AI for Enhanced Interaction and Mobility

- The project introduces Alpha, a quadruped robot designed to explore independent companionship through the integration of Edge AI and robotics. Inspired by Boston Dynamics' Spot Mini, the prototype was completed within a month on a budget of $200.
- Alpha features 12 degrees of freedom and utilizes inverse kinematics algorithms for naturalistic movements, including walking and sitting. It is equipped with ultrasonic sensors, a camera, and deep learning capabilities for object and face recognition.
- The robot incorporates voice control and emotional expression through an LED display, making it accessible to makers, students, and hobbyists. Its design allows for high mobility and adaptability in various environments.
- Assembling Alpha is straightforward, akin to building with LEGO, and it includes components like a 3S Lithium-Polymer battery for approximately 30 minutes of operation. The project emphasizes the growing accessibility of intelligent features in robotics.
- The Maixduino Kit serves as the central brain for Alpha, managing edge AI functions such as object detection and voice recognition. This integration enhances the robot's ability to interact with its environment and respond to commands.
- Alpha's development includes coding frameworks like Arduino IDE and MaixPy IDE, supporting various real-time operating systems. The project also features a PID controller for maintaining balance using an IMU sensor.
- Future improvements are planned, including refining the walking gait and addressing any yaw issues during movement. The project aims to create a more engaging user experience through multi-modal interactions.
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