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Subject: 
Re: Has anyone been experimenting with mapping algorithms?
Newsgroups: 
lugnet.robotics.handyboard
Date: 
Sun, 29 Nov 1998 01:17:09 GMT
Original-From: 
Will <willbain@cs.umt=nospam=.edu>
Reply-To: 
willbain@cs.umt(saynotospam).edu
Viewed: 
2462 times
  
jdunn@unm.edu wrote:
We've been reading up on the many different algorithms for mapping an
environment using autonomous robots.  Has anyone else been trying to figure
out the best approach to map an area and it's obstacles using less than 32k
of memory?

The two basic approaches are (1) a bitmap, and (2) a list of obstacle
coordinates.

A bitmap is just a grid of 1's and 0's indicating the presence of an
obstacle at each grid point.  It can be implemented as a 1-D integer
array with a simple indexing function to specify the proper array index
and bit.  If you have 32 kilobytes available, you can map a grid up to
about 500 x 500 points.

A list of obstacle coordinates is more useful where the search area is
very large and/or where the obstacles are fairly sparse and memory is at
a premium.  One way to store and retrieve the obstacle coordinates is in
a hash table.  You could cram both the x and y coordinates into a single
integer.  The list is a little harder to use algorithmically than a
bitmap.

I haven't actually tried these yet, so if you beat me to it, let me know
how it works out.  Good luck!

--Will
                                          , ,
        __@_/             \_@__           |/
          |                /__,           o             @_/
          )\              )              ( \            (\/\\,
~~~~~~~~~ ' ` ~~~~~~~~~~~ ` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Wendy Parson,             If you can find something everyone agrees on,
Will Bain,                                                  it's wrong.
& Tatoosh                                                    --Mo Udall



Message is in Reply To:
  Has anyone been experimenting with mapping algorithms?
 
Hi everyone, We've been reading up on the many different algorithms for mapping an environment using autonomous robots. Has anyone else been trying to figure out the best approach to map an area and it's obstacles using less than 32k of memory? (26 years ago, 28-Nov-98, to lugnet.robotics.handyboard)

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