SWARM
Effective informational entropy reduction in multi-robot systems based on real-time TVS
Mykhailo Ivanov, Oleg Sergiyenko, Paolo Mercorelli, Wilmar Hernández, Vera Tyrsa, Daniel Hernández‐Balbuena, Julio C. Rodríguez‐Quiñonez, В. М. Карташов, Marina Kolendovska
- 发表年份
- 2019
- 引用次数
- 12
摘要
Paper covers the questions of informational entropy reduction and effectiveness improvement of multi-robot systems (MRS) in densely cluttered terrain. The presented approach uses the author's real-time laser technical vision systems (TVS) as the main tool for environmental sensing. The article proposes the MRS collaboration approach during the indoor environment digitalization while sharing information about detected obstacles.
关键词
RobotTerrainComputer scienceEntropy (arrow of time)Reduction (mathematics)Human–computer interactionArtificial intelligenceReal-time computingComputer vision
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002