

XGO Rider
Overview :
XGO Rider is a desktop dual-wheeled biped AI robot that integrates ChatGPT, featuring self-balancing capabilities and omnidirectional movement. Built on the Raspberry Pi CM4 core module, it supports Python and C++ programming, making it ideal for AI programming education. XGO Rider not only helps students and developers seamlessly enter the world of robotics but also facilitates various interactions and learning opportunities through its rich array of sensors and AI functionalities, including gesture recognition, facial detection, and skeletal tracking.
Target Users :
XGO Rider is suitable for students, developers, and enthusiasts interested in robotics. For students, it serves as a STEM learning tool to enhance hands-on skills and comprehension of technology. For developers, it acts as a platform to run AI algorithms and conduct robotics control experiments. For enthusiasts, it offers an engaging and educational interactive experience.
Use Cases
Students program the XGO Rider to perform tasks such as obstacle avoidance and following, learning the basics of programming and robotics control.
Developers run custom AI algorithms on the XGO Rider, conducting automation research and data collection.
XGO Rider is showcased at tech exhibitions, demonstrating its agile movement and stability to capture the audience's attention.
Features
Omnidirectional Movement: The XGO Rider has a 360-degree movement capability, allowing it to move in any direction.
Self-Balancing Technology: Automatically adjusts its center of gravity using sensors to maintain balance in a two-wheel mode.
Gesture Recognition: Recognizes user gestures through its camera, executing corresponding reactions or tasks.
Facial Detection: Detects faces and responds interactively based on user facial expressions or actions.
Skeletal Recognition: Utilizes AI technology to identify human skeletal structures and track user movements.
Motion Tracking: Identifies and tracks human dynamic movements, suitable for interactive games and fitness guidance.
Real-time Image Processing: Processes images and video data captured by the camera in real time, used for gesture recognition and object tracking.
Voice Interaction: Integrated with ChatGPT for natural language processing, enabling smooth voice dialogue and voice command control.
How to Use
1. Unbox and assemble the XGO Rider according to the instruction manual.
2. Connect the power supply and turn on the XGO Rider, ensuring its system is updated to the latest version.
3. Use a graphical programming tool or Python/C++ to write programs that define the initial behaviors of the XGO Rider.
4. Utilize the sensors and cameras of the XGO Rider for environmental sensing and motion capture.
5. Program the XGO Rider to perform specific tasks such as moving forward, turning, or recognizing gestures.
6. When needed, interact with the XGO Rider via voice commands to issue instructions or engage in conversation.
7. Add additional sensors or peripherals as required by your project, expanding the capabilities of the XGO Rider.
8. Regularly update the software and firmware of the XGO Rider to access the latest features and improvements.
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