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Physical AI & Humanoid Robotics — Interactive Textbook with RAG Chatbot
A 6-chapter interactive textbook on robotics with a built-in AI chatbot that answers questions from the content.
Overview
Built an interactive educational platform covering Physical AI and Humanoid Robotics. The textbook includes 6 chapters covering ROS 2, Gazebo simulation, NVIDIA Isaac, and Vision-Language-Action (VLA) models.
The platform features a RAG (Retrieval-Augmented Generation) chatbot built with OpenAI Agents SDK that can answer questions directly from the textbook content. The backend uses FastAPI with Neon Postgres for data storage and Qdrant Cloud for vector search.
Key Features
- 6-chapter curriculum (ROS 2, Gazebo, NVIDIA Isaac, VLA models)
- RAG chatbot using OpenAI Agents SDK
- Vector search with Qdrant Cloud
- User authentication with Better Auth
- Responsive design with Docusaurus
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