A comprehensive guide to building intelligent physical agents — from foundational principles to deployment. Learn ROS 2, NVIDIA Isaac, Vision-Language-Action systems, and humanoid development.
From theoretical foundations to practical deployment — everything you need to build intelligent physical agents
Master the six core principles of Physical AI: embodiment, perception, action, learning, autonomy, and context sensitivity.
Learn the Robot Operating System 2 — the nervous system powering modern robots from ground up to advanced patterns.
Build precise digital replicas of physical robots for testing, training, and deployment before real-world execution.
Leverage cutting-edge AI acceleration, GPU-powered simulation, and deployment tools for real-world robotics.
Implement VLA systems that combine visual perception, language understanding, and physical manipulation.
Create robots that understand and respond to natural language while performing complex physical tasks.
8 comprehensive parts covering every aspect of Physical AI and Humanoid Robotics
Introduction to embodied intelligence, six core principles, and the role of humanoid robots in physical AI.
Master ROS 2 architecture, topics, services, actions, and build distributed robotic systems.
Create accurate robot models using URDF, XACRO, and understand kinematics chains.
Build digital replicas for testing and training using Gazebo and physics simulation.
Leverage GPU-accelerated simulation, synthetic data generation, and AI deployment tools.
Integrate visual perception, language models, and physical actions for embodied AI.
Build robots that understand natural language and execute physical tasks through dialogue.
End-to-end development of humanoid robots from design to deployment in real-world scenarios.
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