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Humanoid Robots with AI and Simulation
The Complete Guide to Designing Humanoid Robotics and AI Systems
Humanoid robotics is rapidly moving from research labs into real-world systems.
But building a humanoid robot requires understanding multiple disciplines simultaneously: mechanical engineering, electrical design, perception systems, control theory, simulation environments, and AI-driven behavior.
This Community Edition introduces the essential foundations.
You will learn how humanoid robots are structured, how modern robotics software ecosystems are built, and how simulation platforms such as NVIDIA Isaac Sim enable developers to train and test robots before they ever touch real hardware.
If you want to understand how modern humanoid robots are engineered—from anatomy to control systems—this edition will give you the technical starting point.
The full book then takes you deeper into advanced AI training, reinforcement learning, perception systems, and complete humanoid system development.
Community Edition
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Humanoid robotics sits at the intersection of mechanical engineering, artificial intelligence, simulation technology, and human–machine interaction. Mastering it requires understanding how all these systems work together.
What's included in the Community Edition
This Community Edition includes the first part of the book, covering the engineering foundations of humanoid robotics:
• Introduction to robotics and the NVIDIA robotics ecosystem • Preparing a development environment using Isaac Sim and Omniverse • Mechanical anatomy of humanoid robots • Electrical subsystems, sensors, and power systems • Mechanical design principles and fabrication methods • Robotics software fundamentals including ROS and behavior trees
These chapters establish the core technical concepts required before progressing into advanced humanoid robotics topics.
The full edition continues with:
• Simulation-based training using Isaac Sim • Reinforcement learning for humanoid control • Computer vision and perception pipelines • Motion planning and locomotion algorithms • Human–robot interaction systems • Autonomous navigation and SLAM • Multi-robot collaboration • Real-world humanoid applications • Debugging complex robotic systems • Safety, ethics, and regulatory frameworks • Complete humanoid robot system integration
About the Community Edition
This Community Edition gives you a substantial portion of the full book Humanoid Robots with AI and Simulation. It introduces the engineering foundations required to design, simulate, and control modern humanoid robots using NVIDIA’s robotics ecosystem.
You will explore the architecture of humanoid machines, the mechanical and electrical subsystems that make them work, and the core software frameworks used to control them. The material walks through robotics fundamentals while demonstrating how modern development tools such as Isaac Sim, Omniverse, and behavior-tree frameworks are used in real humanoid robotics projects.
The goal of this edition is simple: give engineers, students, and robotics enthusiasts a solid technical starting point before progressing into the more advanced topics covered in the full book.
The complete edition continues far beyond these foundations, covering simulation training pipelines, reinforcement learning for humanoids, perception systems, motion planning, human–robot interaction, autonomous navigation, collaborative robotics, real-world deployments, debugging strategies, safety frameworks, and full humanoid system integration.