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Subject: 
Re: AI in RCX
Newsgroups: 
lugnet.robotics
Date: 
Wed, 15 Nov 2000 14:16:41 GMT
Original-From: 
Tomasz Salamon <TOMASZ.SALAMON@COMARCHspamless.PL>
Viewed: 
446 times
  
I hope that the subject of AI in RCX is not discarded yet.

The project is really challenging, but I think worth to be taken.

Controlling robot is a complex task, or rather a set of tasks. I think
that it would be a good (practical) approach to separate simple tasks
from more complex task (or task which require AI and create so called
hierarchical controller.

Simple tasks I mean controlling i.e. speed of motion (which can be
easily and sufficiently done by deterministic {not NN!} algorithm) and
higher level task like decision concerning the direction of movement.

In that configuration you can significantly reduce the NN size (less
layers, less neurons) => RCX computational power may be sufficient.

I don't know what interface to NN you use. I think that Matlab with NN
toolbox (from The MathWorks) can be useful to first simulation, learning
and testing of NN on PC. You can even estimate the computation power
needed for NN.
You can also generate a C code for the NN by means of Matlab and RTW and
after some enhancement you can probably place the code to your RCX.

Good luck!
Keep us informed about your progress.

tomasz salamon



Message has 1 Reply:
  Re: AI in RCX
 
"Tomasz Salamon" <lego-robotics@crynwr.com> wrote in message news:3A129AC9.304D75...Arch.pl... (...) As another approach to the problem, for my final year disseration I'm currently writing a genetic program, the goal of which will be to make my RCX (...) (24 years ago, 16-Nov-00, to lugnet.robotics)

Message is in Reply To:
  Re:AI in RCX (from proposer)
 
Dear All (...) Yes, that's why I ask for your advice and help. (...) ultra-sonic sensors, so you would need to provide these yourself. The ultra-sonic sensors are already ready (Thanks to JB). They work similar to a light sensor, give reading from (...) (24 years ago, 5-Nov-00, to lugnet.robotics)

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