Robotic Systems in Road Construction

Karelina, M. Yu.; Vasiliev, A. V.; Guly, V. V.; Podgorny, A. V.; Erpulev, V. A.

doi:10.1109/ieeeconf53456.2022.9744273

Cited by 7 publications

(1 citation statement)

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“…Karelina et al. (2022) prove that robots are an excellent tool in road construction, by proposing an autonomous robotic manipulator for the control of a bulldozer during highway construction. In Sheta and Mokhtar (2022), the authors propose an autonomous robot system for pavement inspection, constituting of a robot equipped with an Android phone that gathers a stream that is used to recognize the presence of cracks using convolutional neural networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

Bavelos,

Anastasiou,

Dimitropoulos

et al. 2024

Computer aided Civil Eng

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Road maintenance operators often work in dangerous environments and are in need of a support system to enhance their safety and efficiency. Augmented reality (AR) has proven to be useful in providing support to operators in various industrial sectors. However, the vast majority of the existing applications focus mainly on static, controlled environments, such as industrial shopfloors, although the dynamic flow of information that AR can provide could be very valuable to unstructured, dynamic environments. This paper presents a novel AR—based methodology for human–robot collaboration, real‐time instructions, and support for road maintenance operations, aiming to enhance operator safety and efficiency. A robot operating system‐based architecture is exploited for the communication of the modules. The methodology is tested in a laboratory environment, and the results validate the hypothesized enhancement of road operators. In the future, the application will be validated on real interventions in highways.

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Section: Literature Reviewmentioning

confidence: 99%

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

Bavelos,

Anastasiou,

Dimitropoulos

et al. 2024

Computer aided Civil Eng

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

Liu,

A.H.,

Haron

et al. 2024

J Intell Robot Syst

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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.

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Automating the repair of potholes using machine techniques and digitally crafted asphalt cartridges

Awuah,

Garcia-Hernandez,

Thom

2024

Constr Robot

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Potholes are a major problem on road networks as they reduce driving safety and pavement structural integrity. Current repair methods through filling are labour-intensive and unsafe to workers. This paper presents a new approach to filling potholes with less human intervention. The proposed method adopted a modified 3D printer as the automated pothole filling machine. The machine’s operational paramaters, such as extrusion speed, were optimised to maximise the extrusion rate of asphalt mixtures and enhance the efficiency of the filling process. A new digital design method was developed to quickly select the right aggregate-bitumen proportions for asphalt repair cartridges that meet desired performance standards such as extrusion rate, Marshall stability, Marshall flow, and air void contents. The quality of filled potholes was assessed by measuring the rutting depth. The machine fills exhibited 86% rutting resistance compared to hand fills, indicating its future potential to replace current manual methods.

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Robotic Systems in Road Construction

Cited by 7 publications

References 0 publications

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

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

Automating the repair of potholes using machine techniques and digitally crafted asphalt cartridges

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