黑龙江科技学院学报2012，Vol.22Issue(6)：613-616,625,5.
智能机器人的模糊神经网络避障算法
Obstacle avoidance algorithm designed for mobile robot based on fuzzy neural network
沈显庆 1汪才杰1
作者信息
- 1. 黑龙江科技学院电气与信息工程学院,哈尔滨150027
- 折叠
摘要
Abstract
Aimed at removing difficulties developing accurate models due to complicated influence factors occurring during the process of obstacle avoidance for robot,this paper describes the adoption of ultrasonic wave sensor and positioning sensor to obtain the input information of environment to which robots are exposed,the fuzzy treatment of the input information,and the development of three-layer BP neural network and proposes the control algorithm of robot fuzzy neural network obstacle avoidance.The simulation shows that this algorithm allows the robot to avoid obstacles accurately in the unknown environment as a result of the robot's demonstrated ability to avoid the obstacles on the way safely and without collision and reach the destination smoothly before realizing the safety obstacle avoidance.关键词
机器人避障/模糊神经网络/BP网络Key words
robot obstacle avoidance/fuzzy neural network/BP network分类
信息技术与安全科学引用本文复制引用
沈显庆,汪才杰..智能机器人的模糊神经网络避障算法[J].黑龙江科技学院学报,2012,22(6):613-616,625,5.
