Physical AI & Humanoid Robotics Textbook
A comprehensive digital textbook platform for Physical AI, featuring integrated RAG Chatbot, ROS 2 simulations, and multilingual support.
The Challenge
Educational resources for Physical AI were either too academic or too superficial, making it difficult for students to bridge the gap between AI code and physical motor control.
The Solution
Built a unified intelligence portal using Docusaurus and Claude Code, featuring a real-time RAG chatbot that can explain complex ROS 2 concepts and simulate humanoid kinematics directly in the browser.
System Architecture
The Robotic Nervous System
In-depth coverage of ROS 2 Nodes, Topics, Services, and URDF for humanoid control.
The Digital Twin
High-fidelity physics simulation using Gazebo and Unity for sensor-rich environments.
Vision-Language-Action (VLA)
Bridging LLMs and Robotics using Whisper for voice commands and cognitive planning.
Key Outcomes
Engineered a high-fidelity Docusaurus-based textbook platform.
Implemented a dynamic RAG (Retrieval-Augmented Generation) Chatbot using OpenAI ChatKit.
Integrated multilingual support (English/Urdu) for localized education.
Designed architectural modules for ROS 2, Gazebo, and NVIDIA Isaac Sim.