SWARM
Research on multi-robot formation controlling method
Xiaoqiang Tang, Yuxiang Ji, Chenzheng Zhao, Fei Gao
- Year
- 2015
- Citations
- 3
Abstract
This paper proposes a multi-robot fuzzy formation controlling method which determines the role of leader and followers first, using virtual robot to calculate distance deviation, adopting the azimuth deviation and change rate between leader and followers to proceed with fuzzy angle adjustment and control robot's direction, preventing the collision and keep stable formation. Simulation results show that this method is effective and feasible.
Keywords
AzimuthRobotFuzzy logicComputer scienceCollision avoidanceControl theory (sociology)CollisionFuzzy control systemRobot kinematicsSimulation
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