🚀 go-pugleaf

In article <C0ICnz.o6@world.std.com> lains@world.std.com (Layne L Ainsworth) writes:
>
>
>Has anyone tried to do this: 
>
>"Herds" of cheap (really cheap), reprogrammable robots, each loaded
>with one set of the test "chromosome" population of a Genetic
>Algorithm system. They could be evaluated to optimize indivdual
>performance, or "hive" well-being.  Each "generation" would be the
>same robots, with a new generation of "chromosomes" on board.
>
>Pointers to papers or discussion of the feasibility of such a project
>would both be welcome. I would think this could be a job for the
>much-heralded and -scorned MiniBoard. Wire up all the connections to
>various sensors/actuators and let the herd discover uses for them.
>
>My dream, of course, is a bunch of robots that (who?) could
>continuously clean my house. :-)
>
>Thanks.
>
>-Layne
>
>
>
>-- 
>  Layne Ainsworth | lains@world.std.com <or> ...!{xylogics,uunet}!world!lains
>	  The truth can't hurt you; it's just like the dark.
>



Check out

        "The Learning of Reactive Control Parameters through Genetic
         Algortihms", M. Pearce, R. Arkin, and A. Ram, Proc. 1992
         IEEE/RSJ International Conference on Intelligent Robots and
         Systems, (IROS 92), Raleigh, NC July 1992, pp. 130-137.

These are the simulation results, we hope to port these to our Denning
Robots shortly.

- Ron
   
Ronald C. Arkin
College of Computing, Georgia Institute of Technology
Atlanta, Georgia 30332-0280
Phone: (404)-894-8209            Fax: (404)-853-9378