LEARNING
Obstacle Avoidance Strategy of Mobile Robot Based on Wireless Sensor Networks
Peng An
- Year
- 2016
- Citations
- 2
- Access
- Open access
Abstract
In order to improve the real time performance, accuracy and stability, an obstacle avoidance strategy of mobile robot based on wireless sensor networks is proposed in this paper. The algorithm is combined with fuzzy control and neural network control theory which can express those rules difficult to describe by using mathematical model. Simulation results show that the obstacle avoidance strategy can improve the overall system performance substantially and is suitable for mobile robot intelligent control.
Keywords
Obstacle avoidanceMobile robotObstacleWirelessWireless sensor networkComputer scienceArtificial neural networkControl engineeringFuzzy control systemFuzzy logic
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