SWARM
Control and simulation of robotic swarms in heterogeneous environments
Ted Shaneyfelt, Matthew Joordens, Kranthimanoj Nagothu, John Prevost, Anjan Kumar, S. S. Mirsaeid Ghazi, Mo Jamshidi
- Year
- 2008
- Citations
- 8
Abstract
Simulation provides a low cost method of initial testing of control for robotic swarms. The expansion of robotic swarms to heterogeneous environments drives the need to model cooperative operation in those environments. The Autonomous Control Engineering center at The University of Texas at San Antonio is investigating methods of simulation techniques and simulation environments. This paper presents results from adapting simulation tools for diverse environments.
Keywords
Computer scienceControl (management)Swarm behaviourRobotControl engineeringSimulationEngineeringArtificial intelligence
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