Key Features
✦
Spec-Driven Learning
Every module is defined by clear specifications, learning goals, and success criteria — just like real-world engineering systems.
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✦
End-to-End Humanoid Pipeline
Learn the full autonomy stack: kinematics, simulation, perception, AI navigation, and language-driven action.
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✦
Simulation-to-Reality Focus
From Gazebo and Unity to NVIDIA Isaac and ROS 2 — bridge virtual robots to real humanoid systems.
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What You Will Learn
- ✓Foundations of Physical AI and embodied intelligence
- ✓Humanoid robot kinematics and physical structure
- ✓Digital twins using Gazebo and Unity
- ✓Perception systems: cameras, LiDAR, IMUs, and sensor fusion
- ✓AI robot brains with NVIDIA Isaac and Nav2
- ✓Vision–Language–Action pipelines for humanoid autonomy
Featured Chapters
01
Foundations of Physical AI
Understand embodied intelligence and why humanoid robots require a new AI paradigm.
Read Chapter02
Digital Twins & Simulation
Build realistic robot simulations with physics, sensors, and environments.
Read Chapter03
Perception, AI Brain & Autonomy
Teach robots to see, navigate, reason, and act in the real world.
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