- SLAM is a new topic, founded only in the 1980s that is definitely relevant today. It can be used by robots to make maps of unfamiliar areas, especially areas that humans cant safely access. Such as the deep sea, a damaged building, and hypothetically even deep space or other planets. This allows robots to navigate around an area, by creating a map as they go.
- It is related to cartography and other forms of map making. This can be extending to modern forms of mapping such as GPS. SLAM is a solution to the limitations of GPS. Although GPS technology can locate within half a meter, this small error can throw the path off.
- SLAM is based upon mathematical estimates of errors. The errors are accounted for by using different algorithms, one of which is the Kalman filter. THe Kalman filter is the backbone of all SLAM technology.
- One of the main leaders is Hugh F. Durant. He wrote the initial findings for SLAM down while employed at Oxford University, and as recently as 2010 he was the Research Director of the Australian Research Council.
- Slam for Dummies (written by Riisgaard and Blas), An Introduction to Robot SLAM (Bradley Hiebert-Treuer), as well as various Wikipedia articles, and links from there and the Textbook.
- Havent quite figured it out.
- Yes, Sir!
- Sounds like a plan!
By kendrick on July 1, 2011