基于人工智能的智能扫地机器人自动控制系统设计

2024,32(11):184-189
吴桂明, 王明
广东理工学院信息技术学院
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0.8m和0.64m以上;提升机器人的控制响应能力,按照设定清扫线路执行清扫任务。
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

Design of Automatic Control System for Intelligent Sweeping Robot Based on Artificial Intelligence

Abstract:In order to improve the application effect 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 movement characteristics of the intelligent sweeping robot based on its motion model, calculates the movement state of the intelligent sweeping robot based on the analysis results, and determines its movement state variables; The control model of Netvlad neural network is based on the movement state variable to determine automatic control instructions and achieve automatic control of intelligent sweeping robots. The test results show that the system can calculate the movement status of the robot based on its movement situation; Ensure that the distance between obstacles is above 0.8m and 0.64m in both static and dynamic obstacle environments; Enhance the control response ability of the robot and execute cleaning tasks according to the set cleaning route.
Key words:Artificial intelligence; Intelligent sweeping robot; Auto-Control; Motion model; Moving state variables; Mobile characteristics
收稿日期:2024-07-15
基金项目:
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