References and Further Reading

This chapter provides a curated list of references, academic papers, books, and online resources for further exploration into the topics covered in the Physical AI book.

General AI and Robotics

• ROS 2 Documentation
• NVIDIA Isaac Sim Documentation
• OpenAI Whisper Model Card
• Deep Learning Book by Goodfellow, Bengio, Courville
• [Robot Dynamics and Control by Spong, Hutchinson, Vidyasagar]

Module 1: The Robotic Nervous System (ROS 2)

• ROS 2 Tutorials
• rclpy Documentation
• URDF Tutorials

Module 2: The Digital Twin (Gazebo & Unity)

• Gazebo Documentation
• SDF Specification
• Unity Robotics Hub

Module 3: The AI-Robot Brain (NVIDIA Isaac)

• Isaac ROS Documentation
• Synthetic Data Generation in Isaac Sim
• Reinforcement Learning with Isaac Sim

Module 4: Vision-Language-Action (VLA)

• Whisper GitHub Repository
• Large Language Models in Robotics - Research Papers
• ROS 2 Actions Tutorial

Capstone Project

• [Integrated Robotics Systems Design - Case Studies]
• [Human-Robot Interaction Best Practices]

Hardware

• NVIDIA Jetson Platform Documentation
• [Overview of Robot Actuators]
• [Robot Sensor Technologies - Handbook]

Software

• Docker Documentation
• Git Documentation
• Docusaurus Documentation

Academic Papers

[List relevant academic papers that underpin the concepts discussed in the book.]

Online Courses and Tutorials

[Suggest other online courses, tutorials, or workshops for hands-on learning.]