LEARNING
Application of Data Fusion Based on Fuzzy Neural Networks in the Mobile Robot's Navigation
Yulin Ma
- Year
- 2005
- Citations
- 2
Abstract
This paper presents a multisensor data fusion algorithm based on fuzzy neural networks,and it is used to the obstacle avoidance.By using back propagation neural network as the base,it can use fuzzy theory and neural networks together to form a fuzzy neural networks control system.So it can auto pickup the fuzzy rule and build the subordinate function.Experiments indicate the method proposed in the paper can achieve safe in obstacle avoidance of robot.
Keywords
Obstacle avoidanceArtificial neural networkFuzzy logicComputer scienceNeuro-fuzzyMobile robotArtificial intelligenceFuzzy control systemSensor fusionObstacle
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