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Physical AI & Humanoid Robotics

Part 1: Foundations of Physical AI

Chapter 1: Introduction to Physical AI

1.1 What is Physical AI?

1.2 From Digital Intelligence to Embodied Intelligence

1.3 Applications of Physical AI

1.4 Course Overview & Toolstack

Chapter 2: Fundamentals of Robot Operating System (ROS 2)

2.1 ROS 2 Architecture & Core Concepts

2.2 Nodes, Topics, Services, and Actions

2.3 Writing Your First ROS 2 Package in Python

2.4 Launch Files and Parameter Management

2.5 ROS 2 Middleware for Humanoid Control

Part 2: Simulation & Digital Twins

Chapter 3: Robot Modeling with URDF/SDF

3.1 Unified Robot Description Format (URDF)

3.2 Simulation Description Format (SDF)

3.3 Building a Humanoid Robot Model

3.4 Joints, Links, and Inertial Properties

Chapter 4: Physics Simulation with Gazebo

4.1 Setting Up Gazebo Simulation Environment

4.2 Simulating Physics, Gravity, and Collisions

4.3 Sensor Simulation (LiDAR, IMU, Cameras)

4.4 Integrating ROS 2 with Gazebo

Chapter 5: High-Fidelity Simulation with NVIDIA Isaac Sim

5.1 Introduction to Omniverse & Isaac Sim

5.2 Photorealistic Environments & Synthetic Data

5.3 Sim-to-Real Pipeline

5.4 Training AI Models in Simulation

Part 3: Perception & Navigation

Chapter 6: Robot Vision with RealSense & OpenCV

6.1 RGB-D Data Processing

6.2 Object Detection & Segmentation

6.3 Visual Odometry & SLAM Basics

6.4 Integrating Cameras with ROS 2

Chapter 7: Visual SLAM with Isaac ROS

7.1 Introduction to VSLAM

7.2 Hardware-Accelerated SLAM with NVIDIA Isaac ROS

7.3 Mapping & Localization for Humanoids

7.4 Path Planning with Nav2

Part 4: AI & Robotics Integration

Chapter 8: Vision-Language-Action (VLA) Models

8.1 Bridging LLMs and Robotics

8.2 Voice Commands with Whisper & ROS 2

8.3 Natural Language to Action Sequences

8.4 Cognitive Planning with GPT Models

Chapter 9: Reinforcement Learning for Robot Control

9.1 Basics of RL for Robotics

9.2 Training in Simulation (Isaac Gym)

9.3 Policy Deployment on Real Hardware

9.4 Fine-Tuning with Real-World Data

Part 5: Humanoid Robot Development

Chapter 10: Humanoid Kinematics & Dynamics

10.1 Forward & Inverse Kinematics

10.2 Gait Generation & Balance Control

10.3 Bipedal Locomotion

10.4 Manipulation with Humanoid Hands

Chapter 11: Human-Robot Interaction

11.1 Designing Natural Interactions

11.2 Speech & Gesture Recognition

11.3 Social Robotics & Ethical Considerations

11.4 Safety in Humanoid Robotics

Part 6: Capstone Project

Chapter 12: Building an Autonomous Humanoid

12.1 System Integration: ROS 2 + Isaac + GPT

12.2 Voice-Command Navigation

12.3 Object Detection & Manipulation

12.4 Final Deployment: Sim-to-Real Transfer

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