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Physical AI & Humanoid Robotics

Welcome to the comprehensive Physical AI and Humanoid Robotics course! This 13-week program takes you from foundational concepts to building autonomous humanoid robots with conversational AI capabilities.

Course Overview​

This course provides step-by-step instructional content for students to progress from understanding Physical AI principles to building a simulated humanoid robot with conversational AI.

What You'll Learn​

  • Physical AI Foundations: Embodied intelligence, sensor systems, and robot perception
  • ROS 2 Mastery: Building robotic systems with nodes, topics, services, and actions
  • Robot Simulation: Gazebo and Unity environments for safe testing
  • NVIDIA Isaac: AI perception, synthetic data, and sim-to-real transfer
  • Humanoid Robotics: Kinematics, locomotion, grasping, and manipulation
  • Conversational AI: Voice-to-action, LLM-based planning, multimodal interaction

Course Structure​

This 13-week course is divided into progressive modules:

WeeksTopicFocus
1-2Physical AI FoundationsCore concepts, sensors, embodied intelligence
3-5ROS 2 FundamentalsNodes, communication, packages, launch files
6-7Robot SimulationGazebo, URDF/SDF, physics, Unity visualization
8-10NVIDIA Isaac PlatformSynthetic data, perception, RL, sim-to-real
11-12Humanoid RoboticsKinematics, bipedal locomotion, manipulation
13Conversational RoboticsGPT integration, voice commands, multimodal interaction

Learning Objectives​

By the end of this course, you will be able to:

✅ Explain the principles of Physical AI and embodied intelligence
✅ Build ROS 2 packages and implement robot communication patterns
✅ Create and simulate robots in Gazebo and Unity
✅ Generate synthetic training data using NVIDIA Isaac Sim
✅ Design and control humanoid robot kinematics and dynamics
✅ Integrate large language models for cognitive task planning
✅ Implement voice-to-action pipelines for natural robot interaction

Capstone Project​

The course culminates in an Autonomous Simulated Humanoid project where you'll build a robot that can:

  • Receive and understand voice commands
  • Generate task plans using LLM reasoning
  • Navigate around obstacles autonomously
  • Identify objects using computer vision
  • Manipulate objects in simulation

Prerequisites​

Recommended Background:

  • Basic programming experience (Python preferred)
  • Familiarity with Linux command line
  • Understanding of basic physics and mathematics
  • Interest in robotics and artificial intelligence

Technical Requirements:

  • Ubuntu 22.04 (or compatible Linux distribution)
  • ROS 2 Humble installed
  • NVIDIA GPU (recommended for Isaac Sim)
  • 16GB+ RAM

Course Deliverables​

Throughout this course, you'll receive:

📚 Conceptual Explanations: Step-by-step tutorials for all stages
📊 Diagrams and Workflows: Visual illustrations of architectures and systems
💻 Code Snippets: Production-ready examples for ROS 2, Gazebo, Unity, Isaac
🔬 Hands-On Projects: Weekly exercises with increasing complexity

Getting Started​

Ready to begin? Start with Weeks 1-2: Physical AI Foundations to build your understanding of embodied intelligence and robotic sensor systems.

Course Duration: 13 weeks
Estimated Effort: 8-10 hours per week
Level: Intermediate to Advanced