Low cost sensing and communication system for rotor-craft
Marc Gyongyosi, Alexander Daley, Blake Resnick, Michael Rubenstein
- 发表年份
- 2017
- 引用次数
- 2
摘要
Local communication and sensing between individuals are frequently used for control in multi-robot systems. However, in current flying multi-robot systems, such as swarms of quadrotors, these abilities are often only emulated using global communication and global position sensing. This is mainly due to the complexity, cost, weight, or power requirements for such sensors. Here we present a system that can allow for more natural swarming behaviors by enabling direct bearing and elevation sensing, as well as communication between nearby rotor-craft. This system takes advantage of the existing motion of the vehicles propellers, is low power, and can be adapted to existing vehicles with only simple modifications. We describe the system, present a working prototype, show performance of this prototype, and conclude by describing future work integrating the system into a rotor-craft swarm.
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