ELECFREAKS XGO-Rider Dual-wheeled Foot Robot Kit - CM4 Version

Electronics & Sensors
ELECFREAKS XGO-Rider Dual-wheeled Foot Robot Kit - CM4 Version

USD 479.00

In Stock (15 available)

About this Product

The CM4 XGO-Rider is an advanced, desktop-level dual-wheeled foot development platform powered by the Raspberry Pi Compute Module 4 (CM4). Combining self-balancing wheel locomotion with articulated leg movement, it utilizes FOC (Field Oriented Control) outer-rotor brushless hub motors and 4.5kg.cm all-metal magnetic encoder servos. Its onboard 6-axis IMU constantly monitors orientation to dynamically adjust joint angles for real-time terrain adaptation, omnidirectional movement, and stance stability. Engineered for edge AI and advanced robotics research, the robot features a 5MP camera, dual digital MEMS microphones, an IPS color display, and an 8Ω 3W speaker. It natively integrates with the iFlytek Spark large language model to support natural voice interaction, text-to-image, and image-to-text AI capabilities. The XGO-Rider supports Python and ROS (Robot Operating System) programming alongside wireless remote control, facial recognition, gesture control, object tracking, and QR-code motion navigation

Features

Dual-Wheeled Biped Locomotion: Combines wheel-driven agility with leg-joint stability to navigate varied terrains and maintain self-balance
Raspberry Pi CM4 AI Computing Power: High-performance quad-core processing for computer vision and real-time edge AI execution
Integrated AIGC & Voice Dialogue: Built-in support for large language models enabling voice conversations, image generation, and text synthesis
Advanced Computer Vision: 5MP camera capable of face recognition, gesture control, color tracking, license plate detection, and QR code reading
Precision Servos & FOC Hub Motors: Equipped with 4.5kg.cm metal-gear magnetic encoder dual-axis servos and 8.4V brushless hub motors
IMU Dynamic Stabilization: Onboard 6-axis IMU automatically compensates for slope changes, bumps, and external impacts
ROS & Python Programmability: Fully supports Python scripting, ROS node control, and wireless App control via Bluetooth and Wi-Fi.

What's Included

  • 1 × XGO-Rider Complete Self-Balancing Robot Body
  • 1 × Pre-installed Raspberry Pi CM4 Module
  • 1 × 32GB MicroSD Card (Pre-loaded with OS, AI libraries, and demo code)
  • 1 × 2S 18500 Lithium Battery Pack (1400mAh)
  • 1 × Power Adapter / Charger
  • 1 × Quick Start & Calibration Guide

Specifications

The XGO-Rider is built around a dual-controller architecture: an upper-level Raspberry Pi CM4 board executing computer vision, networking, and high-level AI tasks, paired with a lower-level ESP32-WROVER-B microcontroller driving the IMU loop, servos, and motor FOC controllers.

Product ModelEF08418
AI Controller / ProcessorRaspberry Pi Compute Module 4 (CM4)
Lower ControllerESP32-WROVER-B Module (Wi-Fi & Bluetooth)
Machine Dimensions560 g (Body) / 720 g (Gross Package Weight)
Structural Materials1 mm Aluminum Alloy, Carbon Fiber, PC
Joint Servos6V 4.5kg.cm Steel Gear 360° Magnetic Encoder TTL Serial Servos
Wheel Motors8.4V Outer-Rotor Brushless FOC Hub Motors (0.13 N.m Torque, 400 RPM)
Display2.0-inch IPS LCD Screen (320 × 240 pixels)
Camera Module5MP OV5647 Camera Sensor
Audio HardwareDual MEMS Digital Microphones & 8Ω 3W Speaker
Battery & Runtime18500 2S 1400 mAh Lithium Battery (~2 Hours Runtime)
Programming EnvironmentsPython, ROS (Robot Operating System), XGO Mobile App