GarRobot: Design, Construction and Control of a Teleoperated Climbing Robot Inspired by Geckos

Naomi Isabel López Ayala, Jose Carlos Aguilar Altamirano, Alicia Maria Reyes Duke
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Abstract

Analysis and inspection tasks are increasing more within the industry, especially where the integrity of materials is essential. This is the case of non-destructive testing, where evaluations are required not to damage nor destroy the surfaces, and where tasks may be set in high or narrow environments. This research shows the design, construction, and control of a climbing robot prototype using a structure, movement pattern, and adhesion system inspired by geckos, implementing the Internet of Robotic Things, for the usage in field of non-destructive testing (NDT). The experimental results show that the prototype is structurally stable and coordinated after implementing a movement pattern with three limbs attached at all times, with a determined position according to the kinematic model. The robot demonstrates a payload capacity of 26.2% of its own weight. In addition, the robot scales smooth surfaces with an inclination of up to 90° without leaving a mark or damaging the surface. The graphical interface effectively displays the environment data collected by the robot to the user. As an improvement, the degree of inclination to which the robot can climb can be increased by increasing the torque of the servomotors.
GarRobot:受壁虎启发的遥控攀爬机器人的设计、构造和控制
行业内的分析和检验任务越来越多,特别是在材料完整性至关重要的地方。这是无损检测的情况,需要评估不损坏或破坏表面,并且任务可能设置在高或狭窄的环境中。本研究展示了一个爬行机器人原型的设计、构建和控制,该机器人原型采用了受壁虎启发的结构、运动模式和粘附系统,实现了机器人物联网,用于无损检测(NDT)领域。实验结果表明,在根据运动学模型确定位置的情况下,实现了三肢固定的运动模式,样机结构稳定、协调。该机器人的有效载荷能力为自身重量的26.2%。此外,该机器人还可以在不留下痕迹或损坏表面的情况下,以高达90°的倾角对光滑表面进行缩放。图形界面有效地将机器人采集到的环境数据显示给用户。作为改进,可以通过增加伺服电机的扭矩来增加机器人可以攀爬的倾斜度。
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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