RoboCraft

Physical AI & Humanoid Robotics Textbook

Master intelligent humanoid robotics through our comprehensive open-access textbook covering Physical AI, ROS 2, NVIDIA Isaac, Gazebo simulation, and advanced AI integration. Learn at your own pace with hands-on projects and real-world applications.

Free forever. No lock-in.

A live Physical AI system — not a static course.

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What You'll Learn

Physical AI Principles

Understand embodied intelligence and how AI systems function in the physical world

ROS 2 Mastery

Master the Robot Operating System for robotic control and communication

Simulation Skills

Simulate robots with Gazebo and Unity for realistic testing environments

NVIDIA Isaac Platform

Develop with cutting-edge AI robot platform and synthetic data generation

Humanoid Design

Design humanoid robots for natural human interactions and bipedal locomotion

Conversational AI

Integrate GPT models for voice-controlled conversational robotics

Course Modules

Master Physical AI through a comprehensive curriculum covering robotics fundamentals, simulation, and advanced AI integration.

Module 1: Introduction to Physical AI

Foundations of Physical AI and embodied intelligence. Learn how AI systems function in reality and comprehend physical laws.

Beginner2 weeks

Module 2: The Robotic Nervous System (ROS 2)

Master ROS 2 middleware for robot control. Build packages, manage nodes, topics, and services.

Intermediate3 weeks

Module 3: The Digital Twin (Gazebo & Unity)

Physics simulation and environment building. Simulate sensors, gravity, and collisions in realistic environments.

Intermediate2 weeks

Module 4: The AI-Robot Brain (NVIDIA Isaac™)

Advanced perception and training with NVIDIA Isaac Sim. Hardware-accelerated VSLAM and path planning.

Advanced3 weeks
ADVANCED

Module 5: Vision-Language-Action (VLA)

The convergence of LLMs and Robotics. Voice-to-Action using OpenAI Whisper and cognitive planning with LLMs.

Advanced2 weeks
ADVANCED

Module 6: Humanoid Robot Development

Humanoid robot kinematics, dynamics, bipedal locomotion, and natural human-robot interaction design.

Advanced2 weeks
ADVANCED

Module 7: Conversational Robotics

Integrating GPT models for conversational AI. Speech recognition and multi-modal interaction.

Advanced1 week
ADVANCED

Weekly Breakdown

A structured 13-week journey through Physical AI and Humanoid Robotics

Introduction to Physical AI

Weeks 1-2
  • •Foundations of Physical AI and embodied intelligence
  • •From digital AI to robots that understand physical laws
  • •Overview of humanoid robotics landscape
  • •Sensor systems: LIDAR, cameras, IMUs, force/torque sensors

ROS 2 Fundamentals

Weeks 3-5
  • •ROS 2 architecture and core concepts
  • •Nodes, topics, services, and actions
  • •Building ROS 2 packages with Python
  • •Launch files and parameter management

Robot Simulation with Gazebo

Weeks 6-7
  • •Gazebo simulation environment setup
  • •URDF and SDF robot description formats
  • •Physics simulation and sensor simulation
  • •Introduction to Unity for robot visualization

NVIDIA Isaac Platform

Weeks 8-10
  • •NVIDIA Isaac SDK and Isaac Sim
  • •AI-powered perception and manipulation
  • •Reinforcement learning for robot control
  • •Sim-to-real transfer techniques

Humanoid Robot Development

Weeks 11-12
  • •Humanoid robot kinematics and dynamics
  • •Bipedal locomotion and balance control
  • •Manipulation and grasping with humanoid hands
  • •Natural human-robot interaction design

Conversational Robotics

Week 13
  • •Integrating GPT models for conversational AI in robots
  • •Speech recognition and natural language understanding
  • •Multi-modal interaction: speech, gesture, vision

Hardware & System Requirements

Simulation Only

Complete software-only setup for learning and development

Free
SIMULATION ONLY

Requirements:

  • CPU: Intel i5 or AMD Ryzen 5
  • RAM: 8GB DDR4
  • Storage: 100GB SSD
  • OS: Ubuntu 20.04 LTS, Windows 10+, macOS 11+

Included:

  • • Full software simulation
  • • Virtual robot environments
  • • Development tools
  • • Community support
RECOMMENDED

Professional Builder

Complete setup for developing and testing physical AI systems

$1,299

Requirements:

  • CPU: Intel i7 or AMD Ryzen 7
  • RAM: 16GB DDR4
  • GPU: RTX 3060 or equivalent
  • Storage: 512GB SSD
  • OS: Ubuntu 20.04 LTS, Windows 10+

Included:

  • • Full-size humanoid robot kit
  • • High-performance development computer
  • • Advanced sensors and actuators
  • • Priority support

Enterprise Lab

Complete lab setup for organizations and research institutions

Custom

Requirements:

  • CPU: Intel i9 or AMD Threadripper
  • RAM: 32GB+ DDR4
  • GPU: RTX 4080 or equivalent
  • Storage: 1TB+ NVMe SSD
  • OS: Ubuntu 20.04 LTS

Included:

  • • Multiple humanoid robots
  • • Advanced simulation cluster
  • • Dedicated support engineer
  • • Custom integration services
  • • Training and certification

No Hardware? Start with our free simulation-only path and upgrade later.

Why Physical AI Matters

Humanoid robots are poised to excel in our human-centered world because they share our physical form and can be trained with abundant data from interacting in human environments.

This represents a significant transition from AI models confined to digital environments to embodied intelligence that operates in physical space. Learn how to bridge the gap between the digital brain and the physical body.

Ready to Start Your Journey?

Master Physical AI and Humanoid Robotics through comprehensive, hands-on learning. Start building your expertise today with our free, open-access textbook.

Free forever. No lock-in. No credit card required.