ELECFREAKS CM4 Xgo-rider

LE 43,300.00

A dual-wheeled bipedal robot powered by Raspberry Pi Compute Module 4—built to perform, engage, and inspire Combining agile movement and AI edge computing, the CM4 XGO-Rider brings bipedal robotics to desktop...

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ELECFREAKS CM4 Xgo-rider

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ELECFREAKS CM4 Xgo-rider

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Description

A dual-wheeled bipedal robot powered by Raspberry Pi Compute Module 4—built to perform, engage, and inspire

Combining agile movement and AI edge computing, the CM4 XGO-Rider brings bipedal robotics to desktop innovation. Sporting 4.5 kg·cm all-metal magnetic encoder servos at its joints, FOC hub-integrated motors for omnidirectional motion, and a real-time IMU system for posture stability, it delivers dynamic and adaptive control—including navigating obstacles with ease.

Why Choose This Robot

  • On-board AI computing: Equipped with Raspberry Pi CM4, it supports advanced AI capabilities like face and gesture recognition, color tracking, object detection, license plate scanning, QR-code motion control, and even voice dialogue and text-to-image generation via integrated large language models .

  • Flexible programming: Offers rich development options—program it in Python, integrate with ROS, or use Bluetooth remote control and the XGO mobile app for easy interaction.

  • Sturdy, precision engineering: Built with durable ABS and carbon fiber framing and equipped with aviation-grade aluminum framing, the XGO-Rider is both lightweight and resilient .

  • Expressive interaction: Features a 2″ IPS display, programmable RGB lighting, and 35 pre-made expressions—infusing character into your robot .

What’s Inside the Robot

  • Built-in Raspberry Pi CM4 with Quad-Core Cortex-A72 CPU (1.5 GHz), 2 GB RAM, 32 GB microSD—plus Wi-Fi (dual-band) and Bluetooth 5.0 for smooth, responsive control and app integration .

  • AI-powered sensing: gesture recognition, skeleton tracking, face detection, and human body recognition—let the robot see and react.

  • Mechanically sophisticated motion: omnidirectional movement from FOC hub motors, coupled with precise servos (360° magnetic encoder, 0.088° resolution, PID control) for smooth and accurate behavior.

  • Stability control through built-in IMU that allows the robot to adjust its joint angles in real time for adaptive terrain handling ).

  • Fully open-source: supports Python and ROS development, and offers serial communication protocols for advanced custom projects and capabilities .