基于视觉识别的动态环境下机器人全覆盖路径规划  

Full Coverage Path Planning for Robots in Dynamic Environments Based on Visual Recognition

作　　者：江静岚[1] 伍玉秀[1] 杨媚 陈艳冰 JIANG Jinglan;WU Yuxiu;YANG Mei;CHEN Yanbing(Liuzhou Railway Vocational and Technical College,Liuzhou,Guangxi 545616,China;Liuzhou Liugong Forklift Co.,Ltd.,Liuzhou,Guangxi 545005,China;Liuzhou Zhongyuan Machinery Co.,Ltd.Hydraulic Parts Branch Guangxi Liuzhou 545007,China)

机构地区：[1]柳州铁道职业技术学院,广西柳州545616 [2]柳州柳工叉车有限公司,广西柳州545005 [3]柳州中源机械有限公司液压件分公司,广西柳州545007

出　　处：《移动信息》2024年第7期332-334,共3页MOBILE INFORMATION

基　　金：2023年度广西社科界智库重点课题(一般项目):人工智能与广西产业高质量发展——基于对产业升级与产业结构优化的实证分析。

摘　　要：在动态环境下,机器人全覆盖路径规划对于实现高效和自动化的空间覆盖至关重要。传统的路径规划技术往往依赖于预设的环境模型,难以适应环境的即时变化。文中提出了一种基于视觉识别的机器人全覆盖路径规划方法,旨在通过目标识别与跟踪动态调整路径,有效规划机器人在复杂动态环境中的全覆盖路径。该方法能显著提高在动态环境中的路径规划效率和覆盖率,不仅为机器人在复杂动态环境中的应用提供了新的解决方案,也为未来的智能机器人开发奠定了基础。In dynamic environments,robot full coverage path planning is crucial for achieving efficient and automated spatial coverage.Traditional path planning techniques often rely on preset environmental models,making it difficult to adapt to immediate changes in the environment.This paper proposes a visual recognition based robot full coverage path planning method,aiming to effectively plan the robot̓s full coverage path in complex dynamic environments by dynamically adjusting the path through target recognition and tracking.This method can significantly improve the efficiency and coverage of path planning in dynamic environments.Not only does it provide new solutions for the application of robots in complex dynamic environments,but it also lays the foundation for the development of future intelligent robots.

关 键 词：视觉识别 机器人 路径规划 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]