Automation and Robotics Technologies Deployment Trends in Construction

Bademosi, Fopefoluwa; Issa, Raja R. A.

doi:10.1007/978-3-030-77163-8_1

Cited by 12 publications

(6 citation statements)

References 91 publications

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“…Application of robotic technology leads in less material storage and handling since materials are created at the plant and only delivered to the site to be built to the appropriate structure because they are prefabricated components. This is in line with the findings of a research by (Bademosi & Issa, 2022), which predicted that the use of robot technology will lead to fewer mishaps and unanticipated events. The results of this study further confirm Oke et al, (2019) assertion that robots will be useful for carrying large goods on site, especially prefabricated pieces.…”

Section: Findings and Discussionsupporting

confidence: 89%

“…The factories are constructed so they may repurpose building materials that were utilized in a prior manufacturing or production process. Due to this phenomena, more recycled materials are being used (Bademosi & Issa, 2022). Prefabricated construction is an ecologically beneficial method of building that will aid the sector in attaining its aims for sustainable growth.…”

Section: Literature Reviewmentioning

confidence: 99%

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Benefits of Robotic Utilization in the Prefabricated Construction Industry

Adekunle¹,

Aigbavboa²,

Otasowie³

et al. 2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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Electronically automated machines with a longer lifespan than human work make up robotic technology. The aging workforce in the prefabricated building business may be addressed by robots, which explains why there are less young people employed there than in other sectors of the economy. Robotic technology is cost-effective since it reduces the time required to complete building projects and the expense of manpower, which also lessens the possibility of accidents. Therefore, it is crucial to consider the benefits of robotic technology adoption in the context of the South African prefabricated building industry. The study adopted a quantitative survey method to obtain data from architects, civil engineers, quantity surveyors, mechanical and electrical engineers, construction managers, and project managers. The data were examined using SPSS, and the suitable dispersion measure and inferential statistics were used. According to the report, the key benefits of adopting robotic technology in the prefabricated building business in South Africa include faster construction timeframes, improved work quality, and increased productivity, efficiency, and profitability. The results also showed that improving worker health and safety would result from introducing robotic technology to the prefabricated building industry. The study's conclusions suggest that because of the advantages discovered, the prefabricated building industry in South Africa should adopt robots more swiftly.

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Section: Findings and Discussionsupporting

confidence: 89%

Section: Literature Reviewmentioning

confidence: 99%

Benefits of Robotic Utilization in the Prefabricated Construction Industry

Adekunle¹,

Aigbavboa²,

Otasowie³

et al. 2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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“…In the ever-evolving landscape of heavy construction and earthmoving equipment, bulldozers stand as stalwart workhorses, indispensable in shaping the world's infrastructure [1]. As of 2023, a dynamic amalgamation of technological innovation, environmental consciousness, and safety considerations defines the current status of bulldozer design and implementation [2].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Bulldozers in Modern Construction

Mathur,

Singh,

Shivam

et al. 2024

JSRR

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This study investigates the contemporary landscape of bulldozer technologies and trends in the year 2023, aiming to provide a comprehensive overview of the advancements shaping the construction and earthmoving industry. This research meticulously analyses industry reports, manufacturer data, and emerging technologies, delving into key areas. Firstly, the study explores the integration of cutting-edge technologies into bulldozer design, with a focus on GPS-guided systems for precise grading, telematics for remote monitoring, and automation features contributing to enhanced operational efficiency. Secondly, environmental considerations are examined, emphasizing efforts to make bulldozers more sustainable. This involves an assessment of initiatives to reduce emissions, improve fuel efficiency, and the exploration of alternative power sources, such as electric or hybrid systems. The study also investigates advancements in safety and operator-centric features, including ergonomic cab designs, improved visibility, and the incorporation of safety technologies aimed at reducing accidents and enhancing overall job site safety. Data analytics and telematics play a crucial role in this research, with a focus on their utilization for performance optimization, predictive maintenance, and efficient fleet management. Additionally, the study touches upon the influence of global market trends, economic factors, and regulatory changes on the adoption and development of bulldozer technologies. This includes an examination of how regional demands for infrastructure projects and urbanization impact the design and utilization of bulldozers in different parts of the world. In conclusion, this study aims to contribute valuable insights into the current state of bulldozer technologies, offering a foundation for understanding the industry's trajectory and potential areas for future research and development.

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“…Researchers, engineers, and concrete practitioners working in this field are assisted by machine learning technologies, which also promote the dissemination of knowledge about their subject matter [11,12]. In the current work, artificial intelligence and machine learning have been used to evaluate how the use of different dosages of superplasticizer admixtures affects the compressive strength of concrete.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Modelling for Compressive Strength Prediction of Superplasticizer-Based Concrete

et al. 2023

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Superplasticizers (SPs), also known as naturally high-water reducers, are substances used to create high-strength concrete. Due to the system’s complexity, predicting concrete’s compressive strength can be difficult. In this study, a prediction model for the compressive strength with SP was developed to handle the high-dimensional complex non-linear relationship between the mixing design of SP and the compressive strength of concrete. After performing a statistical analysis of the dataset, a correlation analysis was performed and then 16 supervised machine learning regression techniques were used. Finally, by using the Extra Trees method and creating the SP variable values, it was shown that the compressive strength values of concrete increased with the addition of SP in the optimal dose. The results indicate that superplasticizers can often reduce the water content of concrete by 25 to 35 per cent and consequently resistivity increased by 50 to 75 per cent and the optimum amount of superplasticizers was up to 12 kg per cubic meter as well. From one point, the increase in superplasticizers does not lead to a rise in the concrete compressive strength, and it remains constant. According to the findings, SP additive has the most impact on concrete’s compressive strength after cement. Given the scant information now available on concrete-including superplasticizer, it is prudent to design a concrete mixing plan for future studies. It is also conceivable to investigate how concrete’s compressive strength is impacted by water reduction.

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Automation and Robotics Technologies Deployment Trends in Construction

Cited by 12 publications

References 91 publications

Benefits of Robotic Utilization in the Prefabricated Construction Industry

Benefits of Robotic Utilization in the Prefabricated Construction Industry

A Comprehensive Review of Bulldozers in Modern Construction

Machine Learning Modelling for Compressive Strength Prediction of Superplasticizer-Based Concrete

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