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HeSARIC:一种用于结构健康监测的具有增强现实表示的异构网络物理机器人集群框架。

HeSARIC: A Heterogeneous Cyber-Physical Robotic Swarm Framework for Structural Health Monitoring with Augmented Reality Representation.

作者信息

Fath Alireza, Sauter Christoph, Liu Yi, Gamble Brandon, Burns Dylan, Trombley Evan, Sathi Sai Krishna Reddy, Xia Tian, Huston Dryver

机构信息

Department of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.

Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India.

出版信息

Micromachines (Basel). 2025 Apr 13;16(4):460. doi: 10.3390/mi16040460.

Abstract

This study proposes a cyber-physical framework for the integration of a heterogeneous swarm of robots, sensors, microrobots, and AR for structural health monitoring and confined space inspection based on the application's unique challenges. The structural issues investigated are cracks in the walls, deformation of the structures, and damage to the culverts and devices commonly used in buildings. The PC and augmented reality interfaces are incorporated for human-robot collaboration to provide the necessary information to the human user while teleoperating the robots. The proposed interfaces use edge computing and machine learning to enhance operator interactions and to improve damage detection in confined spaces and challenging environments. The proposed swarm inspection framework is called HeSARIC.

摘要

本研究基于应用的独特挑战,提出了一种用于集成异构机器人、传感器、微型机器人和增强现实(AR)的网络物理框架,以进行结构健康监测和受限空间检查。所研究的结构问题包括墙壁裂缝、结构变形以及建筑物中常用的涵洞和设备损坏。个人计算机(PC)和增强现实接口被纳入人机协作,以便在远程操作机器人时向人类用户提供必要信息。所提出的接口使用边缘计算和机器学习来增强操作员交互,并改善在受限空间和具有挑战性环境中的损伤检测。所提出的群体检查框架称为HeSARIC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b1/12029630/d61262bc5d24/micromachines-16-00460-g001.jpg

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