摘要
为提升智能扫地机器人的应用效果,使其满足不同环境的需求,设计基于人工智能的智能扫地机器人自动控制系统;该系统依据智能扫地机器人的运动模型分析其移动特性,依据该分析结果计算智能扫地机器人的移动状态,确定其移动状态变量;Netvlad神经网络的控制模型以该移动状态变量为依据,确定自动控制指令,实现智能扫地机器人自动控制;测试结果显示:该系统能够依据机器人的移动情况计算其移动状态;在静态障碍物和动态障碍物两种环境下,与障碍物之间的距离均保证在0.8 m和0.64 m以上;显著提升了控制响应能力,确保机器人能够精确且迅速地按照预设的高效清扫线路完成清扫任务。
In order to improve the application of intelligent sweeping robots and meet the needs of different environments,an automatic control system for intelligent sweeping robots based on artificial intelligence is designed.The system analyzes the motion characteristics of the intelligent sweeping robot according to its motion model,calculates the motion state of the intelligent sweeping robot through analysis results,and determines its motion state variables.Based on the moving state variables,the control model of Netvlad neural network is used to determine the automatic control instruction and realize the automatic control of the intelligent sweeping robot.The test results show that the system can calculate the moving state of the robot according to its moving situation.Under two environments of static and dynamic obstacles,the distance between the sweeping robot and obstacles is ensured to to be above 0.8 m and 0.64 m;It significantly improves the control response ability and ensures that the robot can accurately and quickly complete the cleaning task according to the preset efficient cleaning line.
作者
吴桂明
WU Guiming(School of Information Technology,GuangDong Technology College,Zhaoqing 526100,China)
出处
《计算机测量与控制》
2024年第11期184-189,共6页
Computer Measurement &Control
关键词
人工智能
智能扫地机器人
自动控制
运动模型
移动状态变量
移动特性
artificial intelligence
intelligent sweeping robot
automatic control
motion model
moving state variables
mobile characteristics