IEEE Trans. on Robotics special issue on SLAM.

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Subject Author Date
IEEE Trans. on Robotics special issue on SLAM. John Nagle 11-27-2008
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Posted by John Nagle on November 27, 2008, 12:14 am
The latest issue of IEEE Trans. on Robotics is all about SLAM.
There are some interesting new algorithms, and articles on all
the old ones. This stuff actually works now, with nothing more than a
camera as input.

Willow Garage is implementing some SLAM algorithms and open
sourcing the code by putting it back into OpenCV.

If your robot has at least PC-level compute power, there's
no reason any more that it shouldn't know where it is and what's
around it.

                John Nagle

Posted by pogo on December 27, 2008, 3:55 pm
Do you think it's as good as - or approaching - Evolution Robotics vision
recognition software ?
What I mean is you could train the system by taking a photo against a monotonous
background, and it would recognize the object
later with a high degree of certainty.

> The latest issue of IEEE Trans. on Robotics is all about SLAM.
> There are some interesting new algorithms, and articles on all
> the old ones. This stuff actually works now, with nothing more than a
> camera as input.
> Willow Garage is implementing some SLAM algorithms and open
> sourcing the code by putting it back into OpenCV.
> If your robot has at least PC-level compute power, there's
> no reason any more that it shouldn't know where it is and what's
> around it.
> John Nagle


Posted by D Herring on December 28, 2008, 12:01 am
pogo wrote:
> Do you think it's as good as - or approaching - Evolution Robotics
> vision recognition software ?
> What I mean is you could train the system by taking a photo against a
> monotonous background, and it would recognize the object later with a
> high degree of certainty.

Take a look at the SIFT and SURF algorithms for image recognition.

- Daniel


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