• XGO-Rider Desktop Two Wheel-legged Smart Robot for Raspberry Pi Wheel-legged AI Robot Development
  • XGO-Rider Desktop Two Wheel-legged Smart Robot for Raspberry Pi Wheel-legged AI Robot Development

XGO-Rider Desktop Two Wheel-legged Smart Robot for Raspberry Pi Wheel-legged AI Robot Development

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  • Price:$548.58
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XGO-Rider Desktop Two Wheel-legged Smart Robot for Raspberry Pi Wheel-legged AI Robot Development

Description:

- XGO-Rider is a desktop level two wheel-legged development platform based on Raspberry Pi. Built-in CM4 module for Raspberry Pi, it realizes AI edge computing applications. It uses 4.5KG.CM all metal magnetic coding bus serial port steering gear as the joint, and FOC hub integrated motor as the wheel. It can realize omnidirectional movement, pose stability, multiple motion superposition and image voice interaction. It is equipped with IMU for internal algorithm and secondary development, and supports for Python programming.

Characteristics:
- Flexible and stable movement: The shoulder joint is controlled by a 360 degree magnetic encoder servo, with a roll angle of ±20 degrees. The FOC direct drive wheel hub motor precisely controls the movement.
- Obstacle terrain crossing: The robot adjusts joint angles in real-time to adapt to terrain obstacles based on IMU feedback.
- User communication and secondary development interface: Open underlying motion control serial protocol, supports for Python programming, used for secondary development and algorithm verification.
- Example program: An example program that integrates functions such as performance mode, face detection, gesture recognition, and for iFlytek Spark voice and image.
- APP control: Control the two wheel-legged through Bluetooth connection through a mobile APP. After downloading and installing the APP in different ways, users can follow the steps to connect via Bluetooth. After successful connection, they can control the Rider's movements.

AI Functions:
- Performance mode
- Wireless networking
- Free Q&A
- For IFlytek Spark
- Voice recognition
- Words to Images
- Images to Words
- Face recognition
- Face detection
- Gesture recognition
- Remote control
- Bone recognition
- QR code
- Color tracking

Specification:
- Model: XGO-Rider
- Processor: for Raspberry Pi CM4 + ESP32
- Product size: 135 x 118 x 116-158 mm
- Material: aviation aluminum, ABS and carbon fiber
- Net weight: 560g
- Screen size: 2.0-inch IPS 320x240
- Camera: 5 megapixel OV5647
- Microphone: dual MEMS
- Speaker: 8ohms, 2W
- SD card: 32G
- Battery: 18500 2S 1400mAH
- Duration: 1 hour

Servo Parameters:
- Type: serial bus
- Material: CNC aluminum alloy for shell; 7075 aluminum plated with titanium for gear
- Rated torque: 4.5KG•CM
- Speed (S/60°): 0.08S/60°
- Operating voltage range: 4.8V ~ 7.4V
- Working temperature: -10℃ to +50℃
- Weight: 25g
- Motor type: Hollow cup motor

Brushless Motor:
- Voltage: 8.4V
- Rated current: 940mA
- Rated torque: 0.13N. m
- No load speed: 400RPM
- KV value: 75
- Size: diameter 48mm, height 20mm
- Weight: 130g
- Motor type: brushless

Package Included:
- 1 x Robot
- 1 x Type-C Data Cable
- 1 x Type-C USB Hub
- 1 x HDMI-compatible Data Cable


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