摘要
针对移动机器人导航中因障碍物信息复杂的不确定性,为了成功实现自主导航,应用一种多超声波传感器对障碍物进行信息采集,并通过BP神经网络对超声波传感器采集的信息进行处理。根据BP神经网络输出层的结果可确定机器人移动的安全区域。通过实验证明了多传感器信息处理法获得的移动机器人安全区域的可行性,为今后移动机器人避障提供了新的思路。
In view of the uncertainty of the information of obstacles in the navigation of mobile robot. In order to achieve autonomous navigation successfully,a kind of multi-ultrasonic sensor is used to collect the information of obstacles.The information of ultrasonic sensor is processed by BP neural network,and the security area of the robot can be determined according to the results of BP neural network. The experimental results show that the feasibility of the multi sensor information processing method is feasible,which provides a new way for the obstacle avoidance of mobile robot in the future.
出处
《工具技术》
北大核心
2015年第12期90-94,共5页
Tool Engineering
基金
江苏高校品牌专业建设工程资助项目
关键词
超声波传感器
机器人
安全区域
避障
ultrasonic sensor
robot
security area
avoiding obstacles
