Robotic construction analysis: simulation with virtual reality

Silva, Nuno Pereira da; Eloy, Sara; Resende, Ricardo Pontes

doi:10.1016/j.heliyon.2022.e11039

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…Regular monitoring of the built environment using robots is crucial for overseeing maintenance, assessing construction quality, monitoring progress, creating as-built models, and conducting safety inspections [18]. The evaluation of robots on construction sites, as discussed in [19], is essential to anticipate and proactively address challenges in practical robotic construction scenarios. Overall, the integration of robots in construction brings advancements in safety, efficiency, and proactive problem solving.…”

Section: Related Workmentioning

confidence: 99%

Comparison of Machine Learning Approaches for Robust and Timely Detection of PPE in Construction Sites

Azizi,

Koskinopoulou,

Petillot

2024

Robotics

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Globally, workplace safety is a critical concern, and statistics highlight the widespread impact of occupational hazards. According to the International Labour Organization (ILO), an estimated 2.78 million work-related fatalities occur worldwide each year, with an additional 374 million non-fatal workplace injuries and illnesses. These incidents result in significant economic and social costs, emphasizing the urgent need for effective safety measures across industries. The construction sector in particular faces substantial challenges, contributing a notable share to these statistics due to the nature of its operations. As technology, including machine vision algorithms and robotics, continues to advance, there is a growing opportunity to enhance global workplace safety standards and mitigate the human toll of occupational hazards on a broader scale. This paper explores the development and evaluation of two distinct algorithms designed for the accurate detection of safety equipment on construction sites. The first algorithm leverages the Faster R-CNN architecture, employing ResNet-50 as its backbone for robust object detection. Subsequently, the results obtained from Faster R-CNN are compared with those of the second algorithm, Few-Shot Object Detection (FsDet). The selection of FsDet is motivated by its efficiency in addressing the time-intensive process of compiling datasets for network training in object recognition. The research methodology involves training and fine-tuning both algorithms to assess their performance in safety equipment detection. Comparative analysis aims to evaluate the effectiveness of novel training methods employed in the development of these machine vision algorithms.

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Section: Related Workmentioning

confidence: 99%

Comparison of Machine Learning Approaches for Robust and Timely Detection of PPE in Construction Sites

Azizi,

Koskinopoulou,

Petillot

2024

Robotics

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“…The second aspect is the application of various digital technologies in the construction industry. These technologies include, but are not limited to, radio frequency identification [17,18], robotics [19,20], blockchain technology [21,22], BIM [23,24], internet of things [25,26], and artificial intelligence [27]. This mainly explores the potential of these stand-alone technologies and their impact on productivity in the construction industry.…”

Section: Research Progressmentioning

confidence: 99%

Evolutionary Game Analysis for Key Participants’ Behavior in Digital Transformation of the Chinese Construction Industry

Zhang

Wang

2023

Buildings

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The transformation and upgrading of the construction industry has made obvious progress in China. However, the low degree of digitalization is still prominent. The digital transformation decision-making behavior of key participants in the construction industry is easily affected by economic interests, meaning that the implementation of digital transformation is a dynamic evolution process of repeated adjustment and continuous learning. Therefore, this study constructed a tripartite evolutionary game model of the government, service providers, and construction enterprises, and analyzed the strategy selection of each game player and the stability of the system equilibrium point. Moreover, the validity of the model and the influence of various factors on the system were verified and analyzed by numerical simulation. The results showed the following: (1) The government’s tax refund ratio and subsidy coefficient can significantly increase the motivation of construction enterprises and digital construction service providers within a certain threshold. (2) Whether enterprises carry out a comprehensive digital transformation depends on the revenue of the system solution strategy; the greater the revenue, the more positive the enterprises. (3) The adoption of high rewards and high penalties by the superior government can effectively encourage the local government to actively promote digital transformation. The contribution of this study lies in providing a theoretical basis and decision support for promoting the digital transformation of construction enterprises.

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“…During the recuperation phase, the design by Frisoli et al [ 32 ] of a 5-degree-of-freedom rehabilitation robot integrated with VR also demonstrated significant improvement in the treatment process. Drones and other robotic construction technologies were simulated in a virtual reality setting, thanks to the work of da Silva et al [ 33 ]. After analyzing several methods and scenarios for robotic construction simulation methodology, a construction simulation methodology applied to three architectural aspects was presented.…”

Section: Introductionmentioning

confidence: 99%

Design and manufacture of a soft robot with dual-interaction in virtual reality

Eslami,

Pirmoradian,

Mokhtarian

et al. 2023

Heliyon

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Robotic construction analysis: simulation with virtual reality

Cited by 9 publications

References 29 publications

Comparison of Machine Learning Approaches for Robust and Timely Detection of PPE in Construction Sites

Comparison of Machine Learning Approaches for Robust and Timely Detection of PPE in Construction Sites

Evolutionary Game Analysis for Key Participants’ Behavior in Digital Transformation of the Chinese Construction Industry

Design and manufacture of a soft robot with dual-interaction in virtual reality

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