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SLAM (Simultaneous Localization And Mapping) refers to a robot building a map of its environment through it's sensor data (mapping) and keeping track of its own position in that map (localization) at the same time.

8
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When using the EKF (or standard KF) on a real robot, you will want to tell the filter how much noise there is in each measurement, and in the process. The purpose of this is so that the Kalman filter …
answered Dec 16 '12 by ronalchn
20
votes
Primarily, dead reckoning is used along with some other technique, generally SLAM-like. The robot builds a map, and then tries to localize within that map. For example, using laser range scanners … : moving from Hype to Reality. Methods include: SLAM (or at least localization) with laser vision (cameras, stereo-vision) structured environments cellular signals wifi signals RF (radio …
answered Oct 27 '12 by ronalchn
2
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To do SLAM, you will need a relatively good estimate of position. Robots that use laser scanners can make do with just odometry, because the data is relatively accurate, and the scanner data can be …
answered Oct 24 '12 by ronalchn