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Content Provider | IEEE Xplore Digital Library |
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Author | Sirbu, A. Dobrea, D.-M. |
Copyright Year | 2013 |
Description | Author affiliation: Telecommun. & Inf. Technol., Tech. Univ. “Gh. Asachi”, Iaşi, Romania (Sirbu, A.; Dobrea, D.-M.) |
Abstract | This paper presents the development of an autonomous differential wheeled robot able to avoid short-distance obstacles using signals from a set of infrared sensors. For the proposed implementation, the situations of imminent collision are solved on line using an adequately designed genetic algorithm (GA). In this way a knowledge database comprising the main set of rules that directly map the sensor information into the engine commands can be developed on the fly. Our experiments proved that a satisfactory behavior can be obtained even in cases when no initial knowledge database, usually obtained previously off-line through simulations, is provided. The implementation uses a MFC5213 Freescale microcontroller. The GA is developed in C language, using the CodeWarrior 7.2.2 IDE and was extensively tested to prove the viability of the proposed solution. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 291402 |
Page Count | 4 |
File Format | |
ISBN | 9781479931934 |
e-ISBN | 9781467361439 |
DOI | 10.1109/ISSCS.2013.6651201 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-11 |
Publisher Place | Romania |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Robot sensing systems Mobile robots Collision avoidance Biological cells Engines Genetic algorithms |
Content Type | Text |
Resource Type | Article |
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