Multi-Robot System for Mapping of the Unknown Environment

Abstract

The aim of this article is proposal and implementation of the multi-robot system for mapping of the unknown environment. For the localization of each robot, simple odometry was used. Navigation of the robots is based on algorithm similar to bug algorithms. Communication between robots is based on polling. The system was implemented on the platform iRobot Create. Practical experiments have proven that multi-robot system for mapping of the unknown environment is faster and more reliable than single robot system.

Analysis of Uncertainty of Tilt Measurement with Accelerometer

“…Every measurement task has also requirement as maximum allowable uncertainty of measurement. For this reason the uncertainty analysis is also important task before using the sensor or measurement device [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Influence of Pipe Geometric Deviations on In-Pipe Machine Locomotion

“…The obtained math model ( 2) can be implemented into simulation model of in-pipe machine and also it can be used for bristle geometry optimization for obtaining of maximum velocity and traction force of locomotion. On the base of result of simulations, it is possible to realize the optimized product with desired properties [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Puck Collecting Robot

“…For this reason, we are sure that this competition is perfect possibility for improvement of knowledge base of our students. Practice will also asks for solving of many complicated problems and situations [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23].…”