随着机器人技术的发展,自主移动机器人已经逐渐在制造车间物流运输系统中得到应用,同步定位与地图构建(simultaneous localization and mapping,SLAM)和路径规划是实现车间物流机器人自主移动的关键。针对制造车间自主移动物流机器人,...随着机器人技术的发展,自主移动机器人已经逐渐在制造车间物流运输系统中得到应用,同步定位与地图构建(simultaneous localization and mapping,SLAM)和路径规划是实现车间物流机器人自主移动的关键。针对制造车间自主移动物流机器人,研究基于机器人操作系统(robot operating system,ROS)的机器人路径规划仿真平台搭建方法,建立了移动机器人模型及制造车间的导航地图,实现了机器人SLAM及路径规划仿真,验证了基于ROS实现制造车间移动机器导航仿真的可行性。展开更多
旨在设计与实现一种基于ROS的智能田间松土机器人,以提升农业生产效率和自动化水平。研究首先构建了整体系统架构并设计了机械结构,确保机器人在复杂环境中的稳定性。随后,分析了ROS控制系统的实现,涵盖基本概念、环境搭建、节点设计与...旨在设计与实现一种基于ROS的智能田间松土机器人,以提升农业生产效率和自动化水平。研究首先构建了整体系统架构并设计了机械结构,确保机器人在复杂环境中的稳定性。随后,分析了ROS控制系统的实现,涵盖基本概念、环境搭建、节点设计与通信及控制算法。通过实验,收集并分析了机器人的实际作业表现。结果表明,与传统人工操作相比,该机器人显著提高了松土作业效率,并有效改善了土壤硬度和湿度。研究显示,基于ROS的智能田间松土机器人具有良好的应用前景,为推动农业智能化提供重要参考。It aims to design and realize an intelligent field loosening robot based on ROS to improve the efficiency and automation of agricultural production. The study firstly constructed the overall system architecture and designed the mechanical structure to ensure the stability of the robot in a complex environment. Subsequently, the implementation of the ROS control system was analyzed, covering basic concepts, environment construction, node design and communication and control algorithms. Through experiments, the actual operational performance of the robot was collected and analyzed. The results showed that the robot significantly improved the efficiency of soil loosening operation and effectively improved the soil hardness and moisture compared with the traditional manual operation. The study shows that the intelligent field loosening robot based on ROS has a good application prospect and provides an important reference for promoting agricultural intelligence.展开更多
文摘旨在设计与实现一种基于ROS的智能田间松土机器人,以提升农业生产效率和自动化水平。研究首先构建了整体系统架构并设计了机械结构,确保机器人在复杂环境中的稳定性。随后,分析了ROS控制系统的实现,涵盖基本概念、环境搭建、节点设计与通信及控制算法。通过实验,收集并分析了机器人的实际作业表现。结果表明,与传统人工操作相比,该机器人显著提高了松土作业效率,并有效改善了土壤硬度和湿度。研究显示,基于ROS的智能田间松土机器人具有良好的应用前景,为推动农业智能化提供重要参考。It aims to design and realize an intelligent field loosening robot based on ROS to improve the efficiency and automation of agricultural production. The study firstly constructed the overall system architecture and designed the mechanical structure to ensure the stability of the robot in a complex environment. Subsequently, the implementation of the ROS control system was analyzed, covering basic concepts, environment construction, node design and communication and control algorithms. Through experiments, the actual operational performance of the robot was collected and analyzed. The results showed that the robot significantly improved the efficiency of soil loosening operation and effectively improved the soil hardness and moisture compared with the traditional manual operation. The study shows that the intelligent field loosening robot based on ROS has a good application prospect and provides an important reference for promoting agricultural intelligence.
