I am helping to design a new university course using nano.
I wonder if there is any tutorial of using machine learning to make a physical robot to walk? (four legs or bipedal using cheap servo)
I assume the following procedure?
- Draw the 3D model in Omniverse
- Do the reinforcement learning
- Feed the model to the physical robot
- If it does not work, then how to improve it?
It will be good if there is a video tutorial about this.
You may google it or check this projects sharing at Latest Jetson & Embedded Systems/Jetson Projects topics - NVIDIA Developer Forums to see if can gain some ideas.
I would check this out, is accessible enough to get started, from sentdex:
But yes creating an accurate enough model of the robot and then train a neural network on that model is the way to go.
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