A Simple Efficient Method of Obstacle Avoidance Based on Neural Network for Mobile Robots

摘要：

　　as we know,obstacle avoidance has become the key of autonomous navigation process for mobile robots.When a mobile robot only uses sonar for obstacle avoidance,sometimes the results of the current methods become non-effective.Some deadlocks or collision phenomena often occur for the optimal solution or path but it is still efficient.If the robot keeps moving in a complicated unknown environment,serious consequences may happen.This is the problem of control in the optimal solution or path.This paper proposes a simple efficient method of obstacle avoidance based on neural network (NN) for mobile robots.Simulation results verify the validity of the proposed method.

关键词： mobile robots obstacle avoidance neural network

作者: Shi-Gang Cui Hui-Liang Pan Li Yang

作者单位: Tianjin Key Laboratory of Information Sensing & Intelligent ControlTianjin University of Technology and Education, Tianjin, China

会议类型: 国际会议

会议名称: 第16届机电一体化技术国际会议

会议地点: 天津

会议语种:英文

页码: 520-524

在线出版日期: 2012-10-16（万方平台首次上网日期，不代表论文的发表时间）