从肌肉型到灵巧型:系统回顾,了解建筑和效能方面的机器人分类法

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2024-07-31 DOI:10.1002/rob.22409
Yifan Gao, Jiangpeng Shu, Zhe Xia, Yaozhi Luo
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引用次数: 0

摘要

这项工作对机器人技术在建筑活动中的有效性进行了调查。从数据库中确定了 64 篇高度相关的出版物。通过系统地审查这些出版物,检索并进一步评估了与审查主题相关的二手数据。研究发现,用于自动化施工的机器人技术是一个不断发展的领域,在现有的研究中,机器人的分类方法多种多样,从肌肉发达的机器人--机械手到灵巧的机器人--无人驾驶飞行器、自主移动机器人、自动制导车辆、自主建筑机械和四足机器人。此外,现有的研究提供了大量证据,揭示了机器人技术在建筑场景中与传统人类方法相比的有效性,而有效性的衡量标准包括生产率、精确度和成功率。有了这些证据,建筑行业似乎可以受益于机器人技术,实现智能工作流程。此外,在现有文献的知识基础上,提出了未来研究方向的理论框架。该框架设想将大型模型与建筑机器人相结合,以解决操作效率低下、降低成本和简化管理等问题。
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From muscular to dexterous: A systematic review to understand the robotic taxonomy in construction and effectiveness
This work presents an investigation of robotic technologies' effectiveness in construction activities. Sixty‐four highly relevant publications were identified from the database. By systematically reviewing the publications, the secondary data that are of interest to the review theme were retrieved and further evaluated. It is found that robotic technologies for automated construction is a growing field, where the taxonomy of robot was reflected in a diversified manner in the existing studies, ranging from the muscular guy—robotic manipulator—to the dexterous ones—unmanned aerial vehicle, autonomous mobile robot, automated guided vehicle, autonomous construction machinery and quadruped robot. In addition, the existing studies have provided substantial evidence to reveal the robotic technologies' effectiveness against traditional human methods in construction scenarios, and the measures for effectiveness consisted of productivity, precision, and success rate. With the evidence, it seems that the construction sector could benefit from robotic technologies to achieve intelligent workflows. Furthermore, based on the existing knowledge foundation in the current literature, a theoretical framework for future research direction is proposed. The framework envisages the integration of large models with construction robots to address operational inefficiencies, reduce costs, and simplify management.
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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
期刊最新文献
Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information ForzaETH Race Stack—Scaled Autonomous Head‐to‐Head Racing on Fully Commercial Off‐the‐Shelf Hardware Research on Satellite Navigation Control of Six‐Crawler Machinery Based on Fuzzy PID Algorithm
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