Subject:
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RE: AI in RCX
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Newsgroups:
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lugnet.robotics
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Date:
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Sun, 19 Nov 2000 04:11:11 GMT
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Original-From:
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Rolland Steil <rollands@lvcmNOSPAM.com>
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Viewed:
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795 times
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This is the first time I have posted and I don't look at my mail very often so I
may be late in the conversation, however:
Andy, thank you for reminding all of us that there is nothing impossible! Road
blocks do not exist in my world nor should they in anyone else's. The idea of
engineering is to find solutions to problems and not to be saying things like
"it can't be done" or "I can't do it".
For all of those people that enjoy engineering / problem solving as much as I do
never give in to the Dark Side of impossiblities!
Rolland
I think that you should not immediately discount the idea of nueral networks
in the RCX. Bert van Dam has done amazing stuff with networks on the RCX,
and using no PC code.
The point of the RCX is to try, learn, and invernt, not to say that it is
impossible.
Andy
Rama Hoetzlein wrote:
> Steve Baker wrote:
>
> > I think this is "do-able" as a project. [refering to Neural Networks
> AI on RCX]
>
> I will believe it when I actually see it. Until then, it remains to me a
> conceptual possibility (like all projects), but a practical
> impossibiltiy.
>
> My primary reason for suggesting that the goal of the project be reduced
> was to suggest how one could reconcile one's goals with practical
> problems. By focusing on small, simple projects first (such as FSMs), it
> is possible to gradually build up to larger projects, such as autonomous
> neural-network lego robots, while still keeping difficult goals in the
> distance. This is, of course, how to gain experience - which is much
> more important to me that the final product.
>
> I do not doubt that neural networks on the RCX are possible in theory.
> The question is, will the final result be successful - acceptably fast,
> acceptably robust, acceptably working!. Without having the actually
> results in hand, the only thing we have to go on is our imagination and
> experience - which cannot serve as a practical measures of what is
> possible.
>
> Therefore, although I will agree that neural networks on the RCX are
> possible in theory... I will not agree that they are practical -- until
> a see a successful working example.
>
> Rama
>
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