基于虚拟现实的危险环境动态场景再现和机器人远程操作

IF 8.5 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-09-12 DOI:10.1111/mice.13337

Angelos Christos Bavelos, Efthymios Anastasiou, Nikos Dimitropoulos, George Michalos, Sotiris Makris

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引用次数: 0

摘要

虚拟现实（VR）技术在各行各业越来越重要，特别是在培训和远程操作中模拟真实环境。然而，它主要集中在静态、受控的环境中，如室内工业车间。本文提出了一种在不影响效率的前提下，在危险环境中安全远程控制机器人的新方法。操作员可以从远程位置执行任务，无论距离多远，都能确保连续性。利用三维重建、谷歌图片和视频流，通过现场传感器更新虚拟环境并镜像真实环境，从而实现实时高效。VR 与远程机器人之间的通信通过远程机器人操作系统连接实现。这一概念的有效性将通过实际道路维护干预来验证。

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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Virtual reality-based dynamic scene recreation and robot teleoperation for hazardous environments

Virtual reality (VR) technology is increasingly vital in various sectors, particularly for simulating real environments in training and teleoperation. However, it has primarily focused on static, controlled settings like indoor industrial shopfloors. This paper proposes a novel method for remotely controlling robots in hazardous environments safely, without compromising efficiency. Operators can execute tasks from remote locations ensuring continuity regardless of distance. Real-time efficiency is achieved by updating the virtual environment from on-site sensors and mirroring the real environment, utilizing 3D reconstruction, Google Images, and video streams. Communication between VR and the remote robot is facilitated through a remote robot operating system connection. The efficacy of this concept will be validated through real road maintenance interventions.

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来源期刊

Computer-Aided Civil and Infrastructure Engineering 工程技术-工程：土木

CiteScore

17.60

自引率

19.80%

发文量

146

审稿时长

1 months

期刊介绍： Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.