Project-RoBétArmé – MORECoLAB – Montanhas de Investigação

Identification & Background

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

Código do Projeto: No 101058731

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Main objective: The RoBétArmé project aims for a radical change in Construction 4.0 by automating particularly laborious construction tasks at all stages of the application of engineered concrete.

Region of intervention: 11 European countries including Greece, Denmark, Belgium, Germany, Italy, Spain, Bulgaria, Portugal, Austria, France and Ireland and one 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
Completion date: 2025-11-30

Total eligible investment: €8,959,275.00
Total eligible MORE CoLAB: €261,875.00
Financial support from the European Union: 8.959.275,00 €

Development of an intelligent robotic platform addressing the entire concrete application chain designed for the automation of construction, maintenance and infrastructure monitoring activities;
Efficiency evaluationDesigning an advanced real-time and high-precision infrastructure recognition system using Artificial Intelligence (AI) technologies and multimodal sensor fusion; of sustainable forest management using animal traction as an alternative to conventional models with high environmental impact (forest habitat).
Development of collaborative human-robot control systems for the execution of construction and maintenance tasks;
Providing advanced modelling tools adapted to Construction and Building Information Models for the rapid and more environmentally friendly implementation of automated construction activities;
Development of simulation environments using the intelligent technologies Digital Twins for carrying out activities of monitoring, diagnosis and instrumentation of construction;
Commercialization and exploitation in cases of application with economic impact on the European construction industry.

WP1 – Project Coordination and Management
WP2 – Use cases and construction requirements, robotic systems specifications
WP3 – Digitization and modeling tools for site understanding
WP4 – Recognition and perception of needs for construction activities
WP5 – Collaborative robotic skills for construction and maintenance automation
WP6 – Robot hardware for additional manufacturing at the construction site
WP7 – Systems 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

Intelligent robot platform for autonomous construction, maintenance and monitoring of modern infrastructures;
Advanced modelling tools adapted to 3D construction and printing models for faster, more environmentally friendly and automated maintenance and construction activities;
Digital Twins simulation solutions developed to perform the evaluation of the main infrastructure and provide timely decision support;
A real-time, high-precision perception, planning and monitoring system that will use artificial intelligence (AI) enabled decision support techniques to support faster, more environmentally friendly and automated construction activities;
Advanced planning robot, control techniques and hardware extensions;
Cognitive human-robot collaboration schemes based on artificial intelligence (AI) for with ability to perform construction tasks, resulting in a healthy building 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 ongoing dissemination and communication approach will support the rapid proliferation of project results and deliverables among relevant stakeholders.

Identification & Background

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