You could probably buy 10 cheap webcams and put them all around the robot 
and get some vision algorithms to turn them into 3D scenes, which are 
avoided/mapped?  This seems like a pretty well understood and constrained 
problem.

It also sounds like a lot of robot perception work on object permanence, 
which from what I understand is getting a noisy perceptual input to 
conform to a unique symbolic representation of the object (e.g. this is 
the same T-shaped-part-of-the-hallway that I was at 5 minutes ago.)

They mention the SLAM algorithm as being similar, and it doesn't seem to 
have any much greater abilities to accomplish goals for example.  It 
basically sounds like a better inference algorithm.

Bo

On Thu, 10 May 2007, Bob Mottram wrote:

) I don't know what algorithms are being referred to in this article -
) perhaps a type of monte carlo localization.  Does anyone have more
) direct references?  Also it's only in 2D, which is normal for laser
) based mapping.
) 
) It's unlikely that we'll see products based on this sort of technology
) appearing any time soon, unless someone comes out with a cheap
) scanning laser rangefinder (currently costing around $2000 each) or
) alternative types of sensor are used, such as stereo vision.
) 
) 
) 
) On 10/05/07, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote:
) > article in NS about the Purdue guessing robot navigators...
) > 
) > 
http://www.newscientisttech.com/article/dn11805-guessing-robots-navigate-faster.html
) > 
) > I think I get a toljaso on this one --- if the architecture were composed of
) > modules that did CBR, each in its own language, from the very start, this
) > technique would have fallen out automatically.
) > 
) > Josh
) > 
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