Design and Development of a Novel Robotic Gripper for Automated Scaffolding Assembly

Camilla Follini, A. L. Cheng, Galoget Latorre, Luis Freire Amores
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引用次数: 3

Abstract

Scaffolding assembly constitutes a potentially dangerous and time-consuming task within the construction process. In most industrialized nations, said assembly is the process in which most of the causalities of the Construction Industry happen, especially in projects characterized by high complexity and restricted operation space. The repetitiveness of the profile elements and of the assembly operations may open the possibility for automating the scaffolding construction process, which is however a difficult task due to the unstructured environment of construction sites and the implied strong collaboration of human and machine agents. As a possible automation solution, the startup KEWAZO proposes a novel robotic scaffolding assembly system. The solution focuses on the development of small-sized robotic climbing modules controlled as an integrated system. This paper focuses on the development of the robotic gripper of said modular system. The gripper system is validated through static analysis and the construction of a fully functional prototype. Furthermore, the system is integrated with a voice identification / authentication and control mechanism that enables it to recognize a variety of human identities and to engage with verbal commands according to the authority and privileges assigned to each individual.
新型脚手架自动装配机械手的设计与开发
脚手架组装构成了施工过程中一个潜在的危险和耗时的任务。在大多数工业化国家,这种装配是建筑业的大部分伤亡发生的过程,特别是在高复杂性和有限的操作空间的项目中。轮廓元素和装配操作的重复性可能会为自动化脚手架施工过程提供可能性,然而,由于施工现场的非结构化环境和隐含的人与机器代理的强协作,这是一项艰巨的任务。作为一种可能的自动化解决方案,创业公司KEWAZO提出了一种新颖的机器人脚手架组装系统。该解决方案的重点是开发小型机器人攀爬模块作为一个集成系统进行控制。本文重点研究了该模块化系统的机器人夹持器的开发。通过静态分析和全功能原型的构建验证了夹持器系统。此外,该系统集成了语音识别/认证和控制机制,使其能够识别各种人类身份,并根据分配给每个人的权限和特权进行口头命令。
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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