Identification & Background:
Project Title: RoBétArmé – Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility, and additive manufacturing skills
Project code: Nº 101058731
Main goal: The RoBétArmé project aims to bring about a radical change in Construction 4.0 by automating particularly labor-intensive construction tasks at all stages of shotcrete application
Region of intervention: 11 European countries including Greece, Denmark, Belgium, Germany, Italy, Spain, Bulgaria, Portugal, Austria, France and Ireland and a partner from Switzerland.
Scientific Technical Coordinator: CERTH/ITI – Center for Research and Technology Hellas. Information Technologies Institute
Partners:
CERTH – Centre for research and Technologies Hellas (Project Leader)
DTU – Technical University of Denmark
EPFL – Ecole Polytechnique Federale De Lausanne
KUL – KU Leuven
SDU – Syddansk Universitet
COBOD – COBOD International A/S
ROB – ROBOTNIK Automation
ANIMA – ANIMA Technical Commercial LTD
TITAN Cement Company S.A.
DTT – DigitalTwin Technology GmbH
ICE – Information Catalyst
IA – Ingenieros Asesores de Contruccion S.L.
DS4 – Digital Systems 4.0
UNI – Ente Italiano di Normazione
MORE – Mountains of Research Collaborative Laboratory
EFF – European Factory Foundation
BYCN – Bouygues Construction
ARUP – ARUP
CEAS – Christiansen & Essenback A/S
Approval date: 2021-12-21
Start date: 2022–06-01
Conclusion date: 2025-11-30
Total eligible investment: 8.959.275,00 €
MORE CoLAB eligible investment: €261,875.00
Apoio financeiro da União Europeia: 8.959.275,00 €
Objectives
Development of an intelligent robotic platform that covers the entire shotcrete application chain designed to automate construction, maintenance, and infrastructure monitoring activities;
Development of an advanced real-time, high-precision infrastructure recognition system using Artificial Intelligence (AI) technologies, and multimodal sensor fusion;
Development of collaborative human-robot control systems for the ability to carry out construction and maintenance tasks;
Provision of advanced modeling tools adapted to civil construction and Building Information Models for the rapid and more environmentally friendly implementation of automated construction activities;
Development of simulation environments using Digital Twins intelligent technologies to carry out construction monitoring, diagnosis and instrumentation activities;
Commercialization and exploitation in application cases with an economic impact on the European construction industry.
Activities
The activities are distributed over 9 sets of activities (WP – Work Pakage) which are listed below:
WP1 – Project Coordination and Management;
WP2 – Use cases and construction requirements, specifications of the robotic systems;
WP3 – Scanning and modeling tools for understanding the construction site;
WP4 – Recognition and perception of needs for construction activities;
WP5 – Collaborative robotic skills for automating construction and maintenance;
WP6 – Robot hardware for additional manufacturing on the construction site;
WP7 – System integration, pilot deployment and human-centered evaluation;
WP8 – Dissemination, Exploitation and Synergies;
WP9 – Means for technological autonomy in construction: bridging the gap between market and innovation through standards
Expected Results
Smart robot platform for autonomous construction, maintenance and monitoring of modern infrastructures;
Advanced modeling tools adapted to construction models and 3D printing for faster, greener and more automated maintenance and construction activities;
Digital Twins simulation solutions developed to carry out the assessment of the main infrastructure and provide timely decision support;
High-precision, real-time perception, planning and monitoring system that will make use of artificial intelligence (AI)-enabled decision support techniques to support faster, greener and more automated construction activities;
Advanced robot planning, control techniques and hardware extensions;
Cognitive human-robot collaboration schemes based on artificial intelligence (AI) to enable the execution of construction tasks, resulting in a healthy construction environment.
Large-scale demonstrator (pilot) of advanced
Construction 4.0 technologies in 4 challenging scenarios to raise awareness and increase potential adoption by different actors.
The continuous dissemination and communication approach will support the rapid proliferation of project results and achievements among relevant stakeholders.
