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
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
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
On 10/05/07, Bo Morgan [EMAIL PROTECTED] wrote:
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.
This kind of camera
