An Experimental Ferromagnetic Wall Climbing and Paint Fixing Robot Control by an Upper Computer with Colour Discrimination and Its Development Prospect

Yang Kehan, Ma Zhenyu, Pan Yifan
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引用次数: 0

Abstract

It is an extremely important task to detect and repair the magnetic conductivity walls of large tanks, steel bridges, ship walls and aircraft exterior surfaces in the industrial field. This kind of task is usually carried out in extremely complex environment, which has the characteristics of high labor intensity and dangerous operation. Thus, there is a great demand for robot assistance. The paper describes a kind of corporation robot system, which use a Linux based computer with a camera as upper computer and a Magnetic caterpillar car robot with Arduino inside. With pixel to real distance calculation, upper computer is able to find the path and correctly guide the robot. The combination of magnetic wall climbing robot and upper-computer system can greatly improve the safety and efficiency of engineering operations. In addition, this paper analyses the motion system and the computer system in detail. The result shows that the whole system has the ability to adapt many kinds of magnetic conducting surface, and is able to expand easily.
一种基于上位机辨色控制的实验性铁磁爬墙补漆机器人及其发展前景
大型储罐、钢桥、船舶壁和飞机外表面的磁导壁检测和修复是工业领域中一项极其重要的任务。这类作业通常在极其复杂的环境中进行,具有劳动强度高、操作危险的特点。因此,对机器人辅助的需求很大。本文介绍了一种企业机器人系统,该系统采用基于Linux操作系统的上位机和内置Arduino的磁性履带式汽车机器人作为上位机。通过像素到实数的距离计算,上位机能够找到路径并正确引导机器人。磁性爬壁机器人与上位机系统的结合,可以大大提高工程作业的安全性和效率。此外,本文还对运动系统和计算机系统进行了详细的分析。结果表明,整个系统具有适应多种导电表面的能力,且易于扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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