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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Magnenat, S. Longchamp, V. Bonani, M. Rétornaz, P. Germano, P. Bleuler, H. Mondada, F. |
| Copyright Year | 2010 |
| Description | Author affiliation: LSROEPFL, EPFL-LSRO, Station 9, 1015 Lausanne, Switzerland (Magnenat, S.; Longchamp, V.; Bonani, M.; Rétornaz, P.; Bleuler, H.; Mondada, F.) || LAI-EPFL, Switzerland (Germano, P.) |
| Abstract | Simultaneous localization and mapping (SLAM) is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics appliances would clearly benefit from low-cost and compact SLAM implementations. The SLAM research community has developed several robust algorithms in the course of the last two decades. However, until now most SLAM demonstrators have relied on expensive sensors or large processing power, limiting their realms of application. Several works have explored optimizations into various directions; however none has presented a global optimization from the mechatronic to the algorithmic level. |
| Starting Page | 5395 |
| Ending Page | 5401 |
| File Size | 1786934 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424450381 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2010.5509196 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Simultaneous localization and mapping Hardware Robot sensing systems Infrared sensors Robustness Sensor arrays Robotics and automation Home appliances Optimization methods Sensor phenomena and characterization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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