从传统的机器人部署到核退役中的辅助机器人部署。

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1432845
Erwin Jose Lopez Pulgarin, Dave Hopper, Jon Montgomerie, James Kell, Joaquin Carrasco, Guido Herrmann, Alexander Lanzon, Barry Lennox
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引用次数: 0

摘要

在核等受限和危险环境中远程操作和部署机器人系统的历史是漫长而成功的。从20世纪40年代开始,机器人机械手已被用于操纵危险物质,并使人类操作员能够在过于危险或不可能操作的环境中工作。几十年来,技术和科学的进步提高了这些设备的能力,同时允许执行更多的任务。在核退役的情况下,使用这种装置进行远程检查和远程处理已成为工作和调查某些地区的唯一解决办法。由于空间限制、缺乏最新的环境结构知识和能见度差,此类应用需要处理具有挑战性的环境,需要大量的培训和规划才能成功。人们越来越需要加快这些部署过程,增加退役活动的数量,同时保持高水平的安全性和性能。考虑到围绕提高机器人能力进行的大量研究和创新,将其转化为核退役用例可以带来许多潜在的好处。我们相信这样的创新,特别是在训练和部署期间改进的环境反馈机制(即触觉数字双胞胎)和更高模式的辅助或监督控制(即半自主操作)可以发挥重要作用。我们列出了目前业界围绕远程操作和机器人部署所遵循的一些最佳实践,以及实施上述创新的潜在好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From traditional robotic deployments towards assisted robotic deployments in nuclear decommissioning.

The history around teleoperation and deployment of robotic systems in constrained and dangerous environments such as nuclear is a long and successful one. From the 1940s, robotic manipulators have been used to manipulate dangerous substances and enable work in environments either too dangerous or impossible to be operated by human operators. Through the decades, technical and scientific advances have improved the capabilities of these devices, whilst allowing for more tasks to be performed. In the case of nuclear decommissioning, using such devices for remote inspection and remote handling has become the only solution to work and survey some areas. Such applications deal with challenging environments due to space constrains, lack of up-to-date structural knowledge of the environment and poor visibility, requiring much training and planning to succeed. There is a growing need to speed these deployment processes and to increase the number of decommissioning activities whilst maintaining high levels of safety and performance. Considering the large number of research and innovation being done around improving robotic capabilities, numerous potential benefits could be made by translating them to the nuclear decommissioning use cases. We believe such innovations, in particular improved feedback mechanisms from the environment during training and deployments (i.e., Haptic Digital Twins) and higher modes of assisted or supervised control (i.e., Semi-autonomous operation) can play a large role. We list some of the best practices currently being followed in the industry around teleoperation and robotic deployments and the potential benefits of implementing the aforementioned innovations.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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