XGO-Rider2, World’s First Desktop Wheel-Legged Robot with AI

XGO-Rider2, World’s First Desktop Wheel-Legged Robot with AI

$499.00
Sale price  $499.00 Regular price 
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XGO-Rider2, World’s First Desktop Wheel-Legged Robot with AI

XGO-Rider2, World’s First Desktop Wheel-Legged Robot with AI

$499.00
Sale price  $499.00 Regular price 

Desktop Two Wheel-Legged Robot | Omni Directional | Self-Balancing | Raspberry Pi | micro:bit | Powerful AI Features | Open-Sourced |

Two Wheel-Legged Robot

XGO-Rider2

Raspberry Pi CM5 core module

Embodied intelligence (Just for CM5 version)

Wheel-legged multimodal | Al Large model

Intelligent voice interaction | Al visual interaction

Product Introduction

XGO‑Rider2 is a desktop two wheel‑legged robot. Built‑in inertial measurement unit (IMU) that can adjust joint angles in real time to adapt to different terrain obstacles. Based on the Raspberry Pi CM5 core module and Python programming, it supports a series of AI functions such as face recognition, color tracking/following, QR code motion control, object detection, license plate recognition, gesture following, etc. And it supports a variety of large‑model applications such as voice control, image and text recognition.

Raspberry Pi CM5 Module

XGO‑Rider2 is equipped with the Raspberry Pi CM5 module, offering comprehensive performance upgrades. It features a 2.0‑inch IPS color display and four programmable buttons, an integrated 5MP HD camera, a digital microphone, and a speaker, along with AI vision and voice control, making it ideal for intelligent interaction.

XGO-Rider2 is worth buying

AI empowerment: More AI visual recognition functions

Intelligent voice interaction ChatGPT

Micro integrated wheel hub motor

All-metal magnetic encoding Bus serial port servo

Linkage wheel-legged structure

Playable and programmable

AI Intelligent Interaction

AI Dialogue

Integrated with ASR, TTS and emotion detection algorithms, it accurately captures human voice and perceives emotions to deliver highly anthropomorphic intelligent voice interaction.

Performance Mode

The robot loops built-in action groups and sings songs.

Gesture Recognition

A lightweight ONNX gesture inference model parses hand movements in real time and converts them into control commands, enabling contactless air control without touching the screen.

Group Performance

Adopt the MQTT message subscription mechanism to unify time sequences, realize clock synchronization of multiple robots, and collaboratively complete choreographed performance movements.

Video Streaming Mode

Build web services based on Flask with real-time MJPEG media streaming, allowing visualized remote device control via mobile browsers.

Hotspot Mode

Once this function is enabled, the robot will automatically create a Wi-Fi hotspot. Users can control the robot via direct Wi-Fi connection. After connecting to the robot's hotspot, open the address displayed on the screen in a browser to access the default control page.

Extended Learning

Gamepad Control

Connect the gamepad via the Bluetooth HID communication protocol, calibrate joystick parameters, and wirelessly adjust the robot's movement in real time.

(We only provide the expansion interface; the gamepad needs to be purchased separately.)

LiDAR Expansion Interface

The laser LiDAR performs 360° omnidirectional ranging to collect environmental data, renders maps in real time, and visually displays the layout of surrounding obstacles.

(We only provide the expansion interface; the LiDAR hardware needs to be purchased separately.)

Interesting Action Group

We have carefully designed multiple action groups for the robot car, which are integrated into the remote control APP. Users can make Rider-Pi perform various actions.

Dynamic Expressions

Equipped with a 2.0-inch IPS display, it contains 35 dynamic expressions and supports custom dynamic expressions.

For Developers of All Levels

Graphical Programming

Adopt visual block-based drag-and-drop programming, which can automatically compile into Python code, allowing flexible customization of the robot's movements and execution logic.

Raspberry Pi Powered by Qoder

Remotely connect Luwu OS devices via Qoder, leverage AI language programming to handle hardware drivers, motion debugging and AI algorithms in one stop, enabling a single developer to efficiently complete full-stack robot development.

Open Source Python Code

Wheel-Legged Robot Control Course: Step-by-Step Full Development from PID Balancing to Bluetooth & Wi-Fi

Provide product 3D model

Buy XGO-Rider2 wheel-legged robot, get free 3D models for DIY modeling.

Two wheel-legged foot motion joints Linkage structure

Rider-Pi adopts a two wheel-legged foot motion joint design, integrated motor and wheels. The linkage wheel-legged structure enables the robot to move smoothly on various terrains, combining the mobility of wheeled robots and the obstacle-crossing ability of legged robots.

Premium sturdy and durable materials

The body of Rider-Pi is made of ABS material, which has better toughness and higher impact strength. The bracket is made of carbon fiber material, which is strong and light. The rear cover is matched with aviation aluminum material, which is wear-resistant and scratch-resistant, not easy to rust.

Key Hardware

01 Hub Motor

The hub motor has a built-in brushless motor and control circuit, supporting a peak output torque of up to 2 kg·cm. In open-loop speed mode, it can travel more than 100 centimeters per second. Equipped with an MCU and a 14-bit high-precision magnetic encoding sensor, it enables 360° angle control. Adopting the LQR balance motion control algorithm, it ensures smooth startup, stop and rapid response. Built-in overcurrent protection and stall protection extend its service life.

02 All-Metal Joint Servo

The all-metal joint servo is equipped with built-in reduction gears, sensors and control circuits. It adopts a PID algorithm system for servo control and features position closed-loop design to realize 360° angle adjustment. Its angle recognition accuracy reaches 0.088°, and it has built-in acceleration, startup and stop functions to deliver smooth and lifelike mechanical movements.

03 Robot Driver Board

The main driver board is developed based on ESP32 and customized for Rider. It supports input voltage ranging from 7.2V to 8.4V and can continuously output 5V/5A power to meet the power demands of peripheral circuits and user external circuits. It integrates serial transmission circuits of 5V and 3.3V levels to facilitate serial communication with other external peripherals. To facilitate secondary development, 4 control signal interfaces are reserved on the hardware, which can be connected to serial servos and permanent magnet synchronous motors to satisfy diverse development requirements.

The Desktop Wheel-Legged AI Robot

Product Dimensions

Shipping List

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