Yahboon Rider-Pi Two Wheel-legged Robot(Raspberry Pi CM4 core module)

• Based on the Raspberry Pi CM4 module, uses Python programming, with better computing performance and wider development support.
• High-precision IMU module and connecting rod bipedal structure, it has both the mobility of wheeled robots and the obstacle crossing ability of legged robots.
• Equipped with a 2.0-inch IPS display, it can flexibly display 35 dynamic expressions.
• Can realize face recognition, object detection, gesture recognition, license plate recognition, QR code control, etc.
• Supports ChatGPT (extra charge), which can realize voice Q&A, voice control, text to picture, image analysis description, etc.

Rider-Pi is a desktop two wheel-legged robot designed for developers, educators and robot enthusiasts. Built-in inertial measurement unit (IMU) and the carbon fiber connecting rod structure, which allow the robot to adjust the joint angle in real time to adapt to different terrain obstacles. Based on the Raspberry Pi CM4 core module, adopt Python programming, support a series of AI functions such as face recognition, color tracking/following, QR code motion control, object detection, license plate recognition, gesture following, etc. A 2.0-inch IPS screen on the front, can display video images and 35 dynamic expressions in real time. In addition, Rider-Pi also supports ChatGPT (extra charge), which can realize voice Q&A, voice control, text-to-picture, and image analysis description functions.