SWARM
Pattern Recognition Approach for Formation Control for Swarm Robotics Using Fuzzy-Kohonen Networks
Siti Nurmaini, Bambang Tutuko, Aditya Aditya
- 发表年份
- 2015
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Recent advances in robotics have started makingit feasible to deploy large numbers of inexpensive robotsfor tasks such as surveillance and search. However,coordination of multiple robots to accomplish such tasksremains a challenging problem. This paper describes newalgorithm Fuzzy-Kohonen Networks (FKN) to achieve realtimereactive formation control for swarm robots.
关键词
Self-organizing mapArtificial intelligenceFuzzy logicSwarm roboticsComputer scienceRoboticsPattern recognition (psychology)Swarm behaviourMachine learningArtificial neural network
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