Homogenous multi-robot system for mapping of unknown environment
František Duchoň, Martin Vondráček, Martin Dekan, Andrej Babinec, Róbert Spielmann, Martina Szabová, Zuzana Mikulová, Peter Beňo, Jozef Dubravsky
- Year
- 2016
- Citations
- 2
Abstract
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002