Open Research Europe (Jan 2024)

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills [version 1; peer review: 1 approved, 2 approved with reservations]

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

Journal volume & issue
Vol. 4

Abstract

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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.

Keywords