You don't need a $50,000 robot to become a humanoid robotics engineer. You just need the right project.
Every "AI robotics" resource right now is either a 20-minute YouTube demo that skips the hard parts, a $2,000 corporate bootcamp, or a 600-page reference manual that never actually builds anything. You finish all three exactly where you started: able to talk about humanoid robots, unable to build one.
This book is different. It's one continuous project.
By the last page, you will have built, trained, and deployed a complete humanoid robot software stack, in the exact tools the industry actually uses (ROS 2, NVIDIA Isaac Sim, Isaac Lab, and NVIDIA's GR00T foundation model), culminating in one working capstone: a humanoid that's told to fetch a specific object, locates it, walks to it, grasps it, and confirms the task, entirely validated in simulation, with real deployment guidance if you have the hardware.
No prior robotics experience required. Just comfort with Python, a willingness to use a Linux terminal, and rusty linear algebra you're not afraid to dust off.
What You'll Build Inside:
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