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path finding, which path?

Hello Sami

In the beginning of your posting you say in the second paragraph:

> The world is split into a set of axis-aligned bounding boxes
> (aabbs), called volumes. These make up the simplified
> representation used by the navigation system.

You mean you interpret the world in this way so you can apply your tools. But of course the world isn't so. How good is that path finding then. You can't know it, I think. What do you think.

I will tell you my way. The environment is in your computer or somewhere else. You go there and what do you find - you recognize things, food, dangers and all kind of things. Recognizing is a kind of repetition, but with variations, noise and real change. It's identifying in maybe a chaos. The environment is also a neural net! Of course. Dynamic like nature.

You learn when you burn a bodypart, never again that. Think of storing the info and learning all the time and the environment is first simple. It grows when you visit it. You jump over a stone. The environment lives as well. It changes by you and also without you. I call this bottom-up thinking and it's certainly codable.

There are also rather complex mathematical solutions where you work with cameras and a database with the environment. With clever techniques a robot can navigate in a real environment. I've seen a demonstration. Yes it works. An expensive solution.

Ed van der meulen

82 posts.
Wednesday 12 February, 05:16
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