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About the Author: Muhammad Waheed

· 3 min read

Professional Background & Expertise​

I'm Muhammad Waheed, an AI and robotics enthusiast with a passion for creating accessible educational content in the field of Physical AI and Humanoid Robotics. My journey in technology has been focused on bridging the gap between complex AI concepts and practical robotics applications.

My expertise spans across multiple domains including:

  • Artificial Intelligence and Machine Learning
  • Robotics frameworks, particularly ROS 2
  • Simulation environments like Gazebo and NVIDIA Isaac
  • Vision-Language-Action systems
  • Educational technology and curriculum development

Motivation for Creating the AI-Native Textbook​

The inspiration for creating the AI-Native Textbook for Physical AI & Humanoid Robotics came from a recognized need in the robotics education space. Traditional robotics curricula often lack comprehensive coverage of modern AI integration with physical systems, especially in the context of humanoid robotics.

I wanted to create a resource that:

  • Provides a structured, 13-week curriculum covering essential robotics concepts
  • Integrates cutting-edge AI technologies with physical robot systems
  • Makes advanced robotics concepts accessible to students and practitioners
  • Covers the entire pipeline from sensor integration to autonomous decision-making
  • Uses industry-standard tools and frameworks that professionals actually use

The goal is to democratize access to high-quality robotics education and prepare the next generation of engineers for the future of AI-physical interaction.

Technologies Used in This Project​

This AI-Native Textbook project leverages several cutting-edge technologies:

  • ROS 2 (Robot Operating System): The backbone for robot communication, with its robust ecosystem of tools for sensor integration, navigation, and control
  • Docusaurus: The documentation platform that powers this textbook, providing an excellent framework for technical content
  • Node.js: Used for the build process and site generation
  • Gazebo: For high-fidelity physics simulation and testing of robotic algorithms
  • NVIDIA Isaac: For photorealistic simulation and hardware-accelerated AI processing
  • Unity: For advanced rendering and digital twin applications
  • OpenAI Whisper: For voice-to-action capabilities in the Vision-Language-Action module
  • Large Language Models (LLMs): For cognitive planning and natural language processing

Personal Interests​

Outside of robotics and AI, I enjoy exploring the intersection of technology and education. I believe that the future of robotics lies not just in technical advancement, but in making these technologies accessible and understandable to a broader audience.

I'm passionate about creating learning experiences that are both rigorous and engaging, helping students develop both theoretical understanding and practical skills. When I'm not working on robotics projects, I enjoy staying updated on the latest developments in AI research and finding new ways to explain complex concepts clearly.

The AI-Native Textbook project represents my commitment to advancing robotics education and empowering the next generation of roboticists with the knowledge and tools they need to shape the future.

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