Where do you even start with robotics? A10-min concept speedrun to answer that question.
The single most common question I see from people trying to get into robotics is: where do I begin? There's so much to learn and most tutorials assume you already know the stack.
So I made this video as an orientation episode — a high-level walkthrough of every concept you'll encounter in modern robotics and physical AI, and how they fit together:
→ Hardware (GPU/CPU & edge compute)
→ OS / Linux & the terminal
→ Python, Jupyter, Tensors
→ AI, ML & Neural Networks
→ Docker
→ Computer Vision & OpenCV
→ ROS2
It's intentionally high-level — the goal is to give you the mental model first, so that when you go hands-on with any of these topics, you already know where it fits in the bigger picture.
This is Episode 0 of a full beginner series I'm building in collaboration with Seeed Studio and NVIDIA, based on the reComputer Super J401 (Jetson Orin). Each upcoming episode goes deep on one layer of the stack with hands-on tutorials.
The full course materials are also open source on the Seeed GitHub if you want to follow along: https://github.com/Seeed-Projects/reComputer-Jetson-for-Beginners
Video: https://youtu.be/x35bs2XFi0w
Happy to answer questions in the comments — what part of the stack are you most excited to see covered?