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I agree with all that (though I don't really necessarily associate any of that with computer vision, perhaps it's my physics bias).

Having good state estimation, kinematic, and dynamics models of real world objects is something that is very mature in controlled environments, but not very mature in other environments.

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I think you might over-estimate what the current computer vision models are capable of. They are very good at recognizing what class an object belongs to, but they aren't very good at extracting data about the object based on the image. Extracting data of objects from images is image recognition, and humans and most animals relies heavily on vision to get data about objects.

they aren't very good at extracting data about the object based on the image

I’d say they are pretty good: https://towardsdatascience.com/a-guide-to-image-captioning-e...

Hm? Do we have robots that can pick eggs without squishing them, for example? I vaguely remember reading something like this years ago and it was impressive.

Yes, "soft robotic grippers" can do it.

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