SWARM
Cooperative Control of Vehicle Swarms for Acoustic Target Localization by Energy Flows
J. L. Dohner and, G. Richard Eisler, B.J. Driessen, John E. Hurtado
- Year
- 2004
- Citations
- 5
Abstract
A control algorithm has been developed and experimentally validated for guiding swarms of robotic vehicles to acoustic targets. This novel algorithm uses pressure measurements from a set of sensors, each attached to a vehicle of the swarm, to deduce energy flows from the environment, and to move in the direction of maximum reflected intensity while controlling constraints between vehicles. The algorithm was validated using a collective of eight hand-placed microphones in an open-space area with a 50-m separation between an emitter and scatterer.
Keywords
Energy (signal processing)Swarm behaviourAcousticsCommon emitterComputer scienceSeparation (statistics)Sound pressureSpace (punctuation)Control (management)Set (abstract data type)
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002