论文标题

MIRRAX:有限访问环境的可重构机器人

MIRRAX: A Reconfigurable Robot for Limited Access Environments

论文作者

Cheah, Wei, Groves, Keir, Martin, Horatio, Peel, Harriet, Watson, Simon, Marjanovic, Ognjen, Lennox, Barry

论文摘要

近年来,随着硬件和软件的快速发展,用于检查的移动机器人平台的开发已引起人们的关注。但是,传统的移动机器人无法应对在极端环境中操作的挑战,在这种极端环境中,在高度杂乱的区域中,机器人需要穿越狭窄的缝隙,并有限。本文介绍了Mirrax,这是一种旨在应对这些挑战的机器人,具有通过狭窄的端口重新配置自己到限制环境并穿过紧密间隔的障碍物的能力。详细介绍了机器人的控制器,并分析了在可变配置中使用mecanum wheels的机器人的可控性。机器人性能的表征确定了在狭窄环境中操作的合适配置。可以实现稳定配置的最小侧面足迹宽度($ <2^\ text {o} $ oll)为0.19〜m。对机器人的可控性的实验验证与理论分析表现出良好的一致性。一系列实验显示了机器人在解决上述挑战方面的可行性:重新配置本身以限制直径为150mm的端口,并通过杂乱的环境导航。该论文还提出了在英国塞替菲尔德核场所的Magnox设施中部署的结果,这是有史以来第一个进行远程检查和映射的机器人。

The development of mobile robot platforms for inspection has gained traction in recent years with the rapid advancement in hardware and software. However, conventional mobile robots are unable to address the challenge of operating in extreme environments where the robot is required to traverse narrow gaps in highly cluttered areas with restricted access. This paper presents MIRRAX, a robot that has been designed to meet these challenges with the capability of re-configuring itself to both access restricted environments through narrow ports and navigate through tightly spaced obstacles. Controllers for the robot are detailed, along with an analysis on the controllability of the robot given the use of Mecanum wheels in a variable configuration. Characterisation on the robot's performance identified suitable configurations for operating in narrow environments. The minimum lateral footprint width achievable for stable configuration ($<2^\text{o}$~roll) was 0.19~m. Experimental validation of the robot's controllability shows good agreement with the theoretical analysis. A further series of experiments shows the feasibility of the robot in addressing the challenges above: the capability to reconfigure itself for restricted entry through ports as small as 150mm diameter, and navigating through cluttered environments. The paper also presents results from a deployment in a Magnox facility at the Sellafield nuclear site in the UK - the first robot to ever do so, for remote inspection and mapping.

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