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Introduction to the Physical AI & Robotics Course

This book covers the complete journey of learning Physical AI, Robotics, Simulation, Perception, and Robot Intelligence using modern tools like ROS 2, Gazebo, Unity, and NVIDIA Isaac. The curriculum is organized week-by-week to help you build strong foundations and gradually move toward advanced humanoid robotics.

🧠 Weeks 1–2: Introduction to Physical AI

Foundations of Physical AI and Embodied Intelligence​

Learn how AI moves from digital systems to physical machines that interact with the real world.

From Digital AI to Robots That Understand Physical Laws​

Explore how robots understand physics, forces, motion, and real-world constraints.

Overview of the Humanoid Robotics Landscape​

Discover global humanoid robots like Tesla Optimus, Figure 01, Agility Digit, Unitree H1, and more.

Sensor Systems​

  • LiDAR
  • Cameras
  • IMUs
  • Force/Torque Sensors

These sensors help robots perceive the environment with accuracy.

πŸ€– Weeks 3–5: ROS 2 Fundamentals

ROS 2 Architecture and Core Concepts​

Understand the middleware powering modern robots.

Nodes, Topics, Services, and Actions​

Learn asynchronous communication systems in robotics.

Building ROS 2 Packages with Python​

Develop modules and robotics software using rclpy.

Launch Files & Parameter Management​

Automate your robot systems with configurable launches.

πŸ—οΈ Weeks 6–7: Robot Simulation with Gazebo

Gazebo Simulation Environment Setup​

Install and configure Gazebo for physics-based robotics.

URDF & SDF Robot Description Formats​

Model the physical structure of robots.

Physics Simulation & Sensor Simulation​

Simulate gravitational forces, collisions, joints, and sensors.

Introduction to Unity for Robot Visualization​

Learn how Unity can create high-quality interactive 3D robot scenes.

⚑ Weeks 8–10: NVIDIA Isaac Platform

NVIDIA Isaac SDK & Isaac Sim​

Use GPU-accelerated tools to develop, test, and deploy intelligent robots.

AI-Powered Perception and Manipulation​

Teach robots to detect objects, segment environments, and grasp.

Reinforcement Learning for Robot Control​

Train robots using reward-based AI systems.

Sim-to-Real Transfer Techniques​

Move trained robot models from simulation to real hardware.

🦾 Weeks 11–12: Humanoid Robot Development

Humanoid Robot Kinematics & Dynamics​

Build models for bipedal walking, movement, and control.

Bipedal Locomotion & Balance Control​

Use control algorithms to stabilize humanoid robots.

Manipulation & Grasping​

Teach humanoids to use hands for real-world tasks.

Natural Human–Robot Interaction (HRI)​

Speech, gestures, safety rules, and intuitive robot interfaces.

πŸ—£οΈ Week 13: Conversational Robotics

Integrating GPT Models​

Use LLMs to give robots intelligent conversational abilities.

Speech Recognition & Natural Language Understanding​

Enable robots to listen, understand, and respond.

Multimodal Interaction (Speech, Gesture, Vision)​

Combine voice, visual input, and gestures for real interaction.

πŸ”€ Overall Course Workflow Diagram

                 +---------------------------+
                 |  Weeks 1–2: Physical AI    |
                 |  Foundations & Sensors     |
                 +--------------+------------+
                                |
                                v
                 +---------------------------+
                 | Weeks 3–5: ROS 2           |
                 | Communication & Control    |
                 +--------------+------------+
                                |
                                v
                 +---------------------------+
                 | Weeks 6–7: Gazebo Sim      |
                 | Robot Modeling & Physics   |
                 +--------------+------------+
                                |
                                v
                 +---------------------------+
                 | Weeks 8–10: Isaac Platform |
                 | AI Perception & RL         |
                 +--------------+------------+
                                |
                                v
                 +---------------------------+
                 | Weeks 11–12: Humanoids     |
                 | Locomotion & Grasping     |
                 +--------------+------------+
                                |
                                v
                 +---------------------------+
                 | Week 13: Conversational AI |
                 | GPT + Speech + Vision      |
                 +---------------------------+

Agar chaho to main Chapter 1: Foundations of Physical AI ka full detailed chapter (with diagrams + examples + MCQs) bhi create kar dun.