Rider-Pi is a cutting-edge two-wheel legged desktop robot designed for developers, educators, and robotics enthusiasts. It features a built-in inertial measurement unit (IMU) and a carbon fiber linkage structure, enabling real-time joint angle adjustment to navigate various terrains and obstacles. Powered by the Raspberry Pi CM4 core module and programmed in Python, Rider-Pi supports AI functions such as face recognition, color tracking, QR code motion control, object detection, license plate recognition, and gesture following. The front-mounted 2.0-inch IPS screen displays video images and 35 dynamic expressions. Additionally, it supports ChatGPT (extra charge), allowing for voice Q&A, voice control, text-to-image generation, and image analysis.

Features:

• Advanced Computing Power – Powered by the Raspberry Pi CM4 module, providing robust performance and extensive development support.
• Superior Mobility – Integrates a high-precision IMU and a two-wheel-legged linkage structure, offering both wheeled robot speed and legged robot obstacle-crossing abilities.
• Interactive Display – Equipped with a 2.0-inch IPS screen capable of displaying 35 dynamic expressions.
• AI Vision & Recognition – Supports face recognition, object detection, gesture recognition, license plate recognition, and QR code control.
• Dual Control Modes – Offers Bluetooth and WiFi APP (Android/iOS) remote control for convenient operation.
• ChatGPT Integration – Enables advanced voice and text-based interactions, including Q&A, voice control, text-to-image, and image analysis (extra charge applies).

Applications:

• STEM Education & Robotics Learning – Ideal for educators and students to explore AI, programming, and robotics concepts.
• AI & Computer Vision Development – Provides an accessible platform for AI-based research and development projects.
• Interactive Entertainment – Offers engaging features such as dynamic expressions, gesture following, and facial tracking for entertainment purposes.
• Home Automation & Assistance – Capable of voice control and intelligent interactions for smart home applications.
• Research & Prototyping – Serves as a testbed for researchers and developers to implement and test robotics and AI algorithms.