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Physical AI & Humanoid Robotics
A comprehensive AI-native textbook covering ROS 2, Gazebo, NVIDIA Isaac, and Vision-Language-Action systems. Master the fundamentals of robotics, autonomous systems, and intelligent machine interaction.
Book Modules
Module 1: ROS 2 (Weeks 3-5)
Robotic Nervous System – Middleware for Robot Control
- Introduction to ROS 2
- Nodes and Topics
- Services, Actions, and Parameters
- URDF Robot Modeling
- Launch Files and Package Management
Module 2: Digital Twin (Weeks 6-7)
Physics Simulation & Environment Building
- Introduction to Gazebo & Unity
- Simulating Physics, Gravity, and Collisions
- Sensor Simulation: LiDAR, Depth Cameras, IMUs
- High-fidelity Rendering & Human-Robot Interaction
Module 3: NVIDIA Isaac (Weeks 8-10)
AI-Robot Brain – Advanced Perception and Training
- NVIDIA Isaac Sim Overview
- Hardware-accelerated VSLAM (Isaac ROS)
- Navigation & Path Planning (Nav2)
- AI-powered Perception & Manipulation
- Reinforcement Learning and Sim-to-Real Techniques
Module 4: VLA & Humanoids (Weeks 11-13)
Convergence of LLMs and Robotics
- Humanoid Robot Development (Kinematics, Dynamics, Bipedal Locomotion)
- Manipulation and Grasping with Humanoid Hands
- Natural Human-Robot Interaction Design
- Conversational Robotics (GPT Integration, Whisper Voice-to-Action, Multi-modal Interaction)
- Capstone Project: Autonomous Humanoid