翻译一下 随着工业自动化和智能化的不断发展机器人技术在工业生产、服务业、医疗卫生等领域得到了广泛应用。巡检机器人作为一种智能化的设备可以在工业生产、公共设施、建筑物等场所进行巡检发现问题并及时报告提高设备的可靠性和安全性减少人力资源的浪费和风险。本文基于ROS平台旨在研究并探索巡检机器人的目标识别、定位及路径规划技术以提高巡检机器人的智能化水平为实现自主化巡检提供支持。首先让机器人在地图中进行目标

With the continuous development of industrial automation and intelligence, robot technology has been widely used in fields such as industrial production, service industry, and medical health. As an intelligent device, the inspection robot can conduct inspections in places such as industrial production, public facilities, and buildings, discover problems, and report them in a timely manner, thereby improving the reliability and safety of equipment, reducing the waste and risks of human resources. Based on the ROS platform, this paper aims to study and explore the target recognition, positioning, and path planning technology of inspection robots to improve the intelligence level of inspection robots and provide support for autonomous inspection. First, the robot performs target recognition and positioning in the map, plans the path based on the A* algorithm, and finally controls according to the path planning results to achieve autonomous navigation and obstacle avoidance. The experimental results show that the method proposed in this paper can effectively realize the target recognition, positioning, and path planning of the inspection robot, and has high practicality and feasibility