Robotics in the Construction Sector: Trends, Advances, and Challenges

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuming Liu, Alias A.H., Nuzul Azam Haron, Bakar N.A., Hao Wang
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Abstract

Construction robots employ cutting-edge technology to perform tasks more accurately than traditional construction workers, producing higher-quality results and fewer mistakes. Moreover, although construction robotics is a demanding topic in construction sector research, more review studies that track and anticipate adoption trends are required in the construction sector. This study aims to bridge this gap by identifying the adoption challenges and limitations of construction robots and the opportunities offered to the construction sector. To achieve this aim, the study adopts a systematic literature review approach using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol. Additionally, the systematic literature review focuses on the framework for categorizing technological advances and potential trends in development over the past decade. The review results reveal that: (a) current robotic technology covered four critical perspectives including perception, mobility, manipulation, and collaboration; (b) promoting the sector requires attention to safety and ethical issues because of the risks associated.

建筑领域的机器人技术:趋势、进展和挑战
与传统建筑工人相比,建筑机器人采用最先进的技术,能更准确地完成任务,产生更高质量的结果,减少失误。此外,虽然建筑机器人是建筑行业研究中的一个热门话题,但建筑行业需要更多跟踪和预测采用趋势的综述研究。本研究旨在通过确定采用建筑机器人所面临的挑战和限制,以及为建筑行业提供的机遇,来弥补这一差距。为实现这一目标,本研究采用了系统性文献综述方法,使用了系统性综述和荟萃分析首选报告项目(PRISMA)协议。此外,系统性文献综述重点关注过去十年技术进步和潜在发展趋势的分类框架。综述结果显示(a) 当前的机器人技术涵盖四个关键视角,包括感知、移动、操纵和协作;(b) 由于存在相关风险,推广该领域需要关注安全和伦理问题。
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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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