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Project Title: Physical AI & Humanoid Robotics — Interactive Course Book
Short Description:
An AI-generated educational course book on Physical AI and Humanoid Robotics, built and deployed as a fully structured documentation site.
Project Details:
I built this interactive course book using the Claude AI Agent SDK and Speckit to autonomously generate structured, technical educational content — and deployed it as a live Docusaurus site on Vercel.
The book covers a complete learning path from foundational concepts to advanced robotics implementation, organized into the following modules:
Introduction to Physical AI — what it is, why it matters, and how it differs from traditional AI
Module 1: The Robotic Nervous System (ROS 2) — architecture and robot coordination
Module 2: The Digital Twin (Gazebo & Unity) — simulation environments and sensor integration
Module 3: The AI-Robot Brain (NVIDIA Isaac) — perception, synthetic data, and reinforcement learning
Module 4: Vision-Language-Action (VLA) Systems — integrating speech, LLMs, and robotic actions
Capstone Project — end-to-end Physical AI integration
Supporting sections: Glossary, Hardware Considerations, Software Stack, Roadmap, and References
Tech Stack:
Claude AI Agent SDK, Speckit, Docusaurus v3, Vercel
What makes it notable:
The entire course content was generated and structured by an AI agent pipeline — not written manually. This demonstrates the practical use of agentic AI for content generation, technical writing automation, and documentation at scale.
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