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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tamimi, A. Sadjadian, H. Omranpour, H. |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electrical and computer Engineering, Qazvin Islamic Azad University, Iran (Tamimi, A.) || School of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran (Sadjadian, H.) || School of Computer Engineering, AmirKabir University of Technology, Tehran, Iran (Omranpour, H.) |
| Abstract | the most important factor for a mobile robot is navigation. Success in localization is one of the four requirements of navigation which includes perception, localization, cognition and motion control. Localization is usually done in two ways: global localization problem and position tracking problem. In the global localization problem the robot does not know its initial position and it has to localize itself. In the position tracking problem for a robot given its initial position, the goal is to keep track of the position while the robot is navigating through the environment. In this paper we propose a method using an evolutionary algorithm for mobile robots' global localization. We use Imperialist Competitive Algorithm (ICA) to achieve our goal. The method that is used for global localization works in two steps: First we estimate X and Y and then we find the best direction for X and Y which we estimated in previous step. The results which have been demonstrated in the experimental results section show that our algorithm works very accurate in all of the positions that we located the robot for our tests with acceptable number of iterations. |
| File Size | 1160877 |
| File Format | |
| ISBN | 9781424465392 |
| ISSN | 21547491 |
| e-ISBN | 9781424465422 |
| DOI | 10.1109/ICACTE.2010.5579468 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Flowcharts Global Localization Tracking Navigation Mobile Robots Imperialist Competitive Algorithm Filtering algorithms Position measurement Educational institutions Evolutionary Algorithms Position Tracking |
| Content Type | Text |
| Resource Type | Article |
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