Homogenous multi-robot system for mapping of unknown environment
Aim of this article is to design and to implement autonomous multi-agent system, which is used for effective mapping of unknown environment. Proposed system is compared with single mapping robot. Robots used only simple systems such as odometry and gyro-odometry for their localization. Obstacles are...
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Published in | 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI) pp. 17 - 22 |
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Main Authors | , , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.01.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Aim of this article is to design and to implement autonomous multi-agent system, which is used for effective mapping of unknown environment. Proposed system is compared with single mapping robot. Robots used only simple systems such as odometry and gyro-odometry for their localization. Obstacles are detected by bumpers and IR sensors. System is controlled by superior server and each agent communicates with server by TCP/IP protocol. Activity of each agent is coordinated by server and the generated map is stored in MySQL database. Navigation of each agent is implemented in two levels - local level (obstacle avoidance) and global level (environment examination). System was verified with real robots - several iRobot Create platforms enhanced by own modules. At the end of article, the results prove that even a simple system can be effectively used for environment mapping with relatively good accuracy. |
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DOI: | 10.1109/SAMI.2016.7422975 |