A comprehensive AI-native textbook covering ROS 2, Gazebo, NVIDIA Isaac, and Vision-Language-Action systems — from fundamentals to autonomous humanoid deployment.
Technologies covered in this textbook
A structured path from ROS 2 fundamentals to autonomous humanoid deployment
ROS 2
Master ROS 2 fundamentals — nodes, topics, services, and packages. Integrate LIDAR and IMU sensors, build Python agents, and model robots with URDF.
Gazebo & Unity
Build high-fidelity digital twins using Gazebo physics simulation and Unity HDRP rendering. Simulate cameras, LIDAR, and IMU with physical accuracy.
NVIDIA Isaac™
Leverage NVIDIA Isaac Sim for photorealistic simulation, hardware-accelerated VSLAM with Nav2, and GPU-powered reinforcement learning with domain randomization.
VLA Systems
Integrate voice commands via OpenAI Whisper, LLM-based cognitive planning, and deploy an autonomous humanoid robot from simulation to the real world.
Everything you need to go from zero to autonomous humanoid deployment
26 chapters covering every aspect of Physical AI — from sensors and simulation to autonomous deployment.
Over 100 real code examples in Python, C++, YAML, and C# with working robotics implementations.
ROS 2, NVIDIA Isaac, Gazebo, Unity — the exact tools used in top robotics research labs worldwide.
Every chapter has defined learning objectives and key takeaways so you always know what you have mastered.
Content aligned with cutting-edge research in sim-to-real transfer, RL, and Vision-Language-Action systems.
Deploy a fully autonomous humanoid robot — from simulation in Isaac Sim to real-world testing.
Start your journey into Physical AI and Humanoid Robotics today — completely free.