Gesture Learning

How to learn effective physical movement
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So human intelligence is different from AI at least in that it is embodied and in that it learns quickly, from a few rather than millions of examples.

A certain level of intelligence can be straightforwardly built, I should think, using reinforcement learning in an embodied system with sensory feedback, that is able to plan, act, learn, protect itself, etc., and the kinds of things it can learn includes all kinds of coordinated physical actions from simple to quite complex.

Below are the parts I would put together to make such a system.

Experimentation might discover how complex it could get. But pointing out one's tongue, swallowing, crawling, walking, throwing, and making speech sounds, seem to me to be reasonably attainable.

Use reinforcement learning: random experimentation and results assessment, and to learn increasingly effective coordination, orchestrations, melodies.

Practice considerably to refine skill for each orchestration.

Explore considerably to find effective orchestrations of similar complexity, as if, at a similar level. That way you know the kinds of things you can do with your actuator sets.

Then build smaller gestures into higher level orchestrations.

For example:

Pretty soon you should be able to stick out a tongue, and to swallow. (Before birth, before breathing, air in the system.)

Later with air and hearing, to make sounds.

Another example: Put hydraulics onto a 6 jointed whip with fingers to learn to throw a ball.

Copyright © 2000-2019, Thomas C. Veatch. All rights reserved.
Modified: June 16, 2019