RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

Ioannis Kostavelis*, Lazaros Nalpantidis, Renaud Detry, Herman Bruyninckx, Aude Billard, Schlette Christian, Marc Bosch, Konstantinos Andronikidis, Henrik Lund-Nielsen, Pedram Yosefipor, Usman Wajid, Rahul Tomar, Fernando LLano Martínez, Federica Fugaroli, Despoina Papargyriou, Nikolay Mehandjiev, Gash Bhullar, Estefânia Gonçalves, Jonas Bentzen, Mads EssenbækChristian Cremona, Mary Wong, Marcos Sanchez, Dimitrios Giakoumis, Dimitrios Tzovaras

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The importance of construction automation has grown worldwide, aiming to deliver new machineries for the automation of roads, tunnels, bridges, buildings and earth-work construction. This need is mainly driven by (i) the shortage and rising costs of skilled workers, (ii) the tremendous increased needs for new infrastructures to serve the daily activities and (iii) the immense demand for maintenance of ageing infrastructure. Shotcrete (sprayed concrete) is increasingly becoming popular technology among contractors and builders, as its application is extremely economical and flexible as the growth in construction repairs in developed countries demand excessive automation of concrete placement. Even if shotcrete technology is heavily mechanized, the actual application is still performed manually at a large extend. RoBétArméEuropean project targets the Construction 4.0 transformation of the construction with shotcrete with the adoption of breakthrough technologies such as sensors, augmented reality systems, high-performance computing, additive manufacturing, advanced materials, autonomous robots and simulation systems, technologies that have already been studied and applied so far in Industry 4.0. The paper at hand showcases the development of a novel robotic system with advanced perception, cognition and digitization capabilities for the automation of all phases of shotcrete application. In particular, the challenges and barriers in shotcrete automation are presented and the RoBétArmésuggested solutions are outlined. We introduce a basic conceptual architecture of the system to be developed and we demonstrate the four application scenarios on which the system is designated to operate.

Original languageEnglish
JournalOpen Research Europe
Volume4
Issue number4
Pages (from-to)4
Number of pages22
ISSN2732-5121
DOIs
Publication statusPublished - 2024

Bibliographical note

Copyright: © 2024 Kostavelis I et al.

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