Multi-Robot Control for Adaptive Caging and Tracking of a Flood Area
Yang Bai, Mikhail Svinin, Evgeni Magid
- 发表年份
- 2020
- 引用次数
- 6
摘要
In this paper, a control strategy for tracking the propagation of an expanding flood zone by using a group of unmanned aerial vehicles (UAVs), is developed. The control strategy addresses the following two issues. One is to averagely distribute a group of UAVs along the expanding boundary of the flood zone without collisions among each other. The other is to track the propagation of the flood region by keeping its boundary within the field of vision for each UAV. A combined control algorithm is proposed for dealing with both the flocking-based control and adaptive vision-based tracking problems. The feasibility of the algorithm is verified under simulations in the ROS/Gazebo environment.
关键词
相关论文
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