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Content Provider | IEEE Xplore Digital Library |
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Author | Hester, T. Stone, P. |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Comput. Sci., Univ. of Texas at Austin, Austin, TX (Hester, T.; Stone, P.) |
Abstract | Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a robot must make full use of all the information provided to it. This paper moves towards this goal by studying the effects of incorporating line observations and negative information into the localization algorithm. We extend the general Monte Carlo localization algorithm to utilize observations of lines such as carpet edges. We also make use of the information available when the robot expects to see a landmark but does not, by incorporating negative information into the algorithm. We compare our implementations of these ideas to previous similar approaches and demonstrate the effectiveness of these improvements through localization experiments performed both on a Sony AIBO ERS-7 robot and in simulation. |
Starting Page | 2764 |
Ending Page | 2769 |
File Size | 159929 |
Page Count | 6 |
File Format | |
ISBN | 9781424416462 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2008.4543629 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-05-19 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Monte Carlo methods Mobile robots Robotics and automation Rivers Filtering Legged locomotion Robot vision systems USA Councils Poles and towers Robot localization |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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