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AUTONOMOUS ROBOTIC SYSTEM FOR PIN PULLING OPERATION IN RAIL YARD

机译:铁路围场推杆操作的自主机器人系统

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The railroad industry expends significant effort to increase operational safety and efficiency by using a variety of sensors for machine health monitoring and inspection purposes. This paper proposes to advance rail technology even further to use similar sensor data for the control of a robotic system designed to automate the uncoupling of freight cars, a hazardous operation that currently requires human operators to interact with moving trains. To automate this process, an intelligent robotic system was developed to detect, track, approach, grasp, and manipulate semi-constrained objects on equipment in motion. This work presents a system prototype that utilizes machine vision, force feedback, and complex end-effector technology capable of autonomously uncoupling full-scale freight cars using visual and tactile feedback. Laboratory tests have proven that modern robotic and sensing hardware can be used to reliably separate pairs of rolling stock at 3.25 kilometers per hour. The results to date suggest that speeds of up to 7 km/h are feasible for a system deployed in a rail yard.
机译:铁路行业花费大量精力来提高运行安全性和效率,方法是使用各种传感器进行机器健康监测和检查。本文提出进一步发展铁路技术,以使用类似的传感器数据来控制旨在使货车解耦自动化的机器人系统,这是一种危险的操作,目前需要人类操作员与行驶中的火车进行交互。为了使这一过程自动化,开发了一种智能机器人系统来检测,跟踪,接近,抓握和操纵运动中的设备上的半约束物体。这项工作提出了一种系统原型,该原型利用了机器视觉,力反馈和复杂的末端执行器技术,能够利用视觉和触觉反馈自动解耦全尺寸货车。实验室测试证明,现代的机器人和传感硬件可用于以每小时3.25公里的速度可靠地分离成对的机车车辆。迄今为止的结果表明,对于部署在铁路货场中的系统而言,最高时速为7 km / h是可行的。

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