AI-Driven Cognitive Robotic Platform for Agile Production environments

Informations projet

ACROBA

N° de convention de subvention: 101017284

DOI 10.3030/101017284

Projet clôturé

Date de signature de la CE 3 Decembre 2020

Date de début 1 Janvier 2021

Date de fin 30 Juin 2024

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total € 8 052 261,88

Contribution de l’UE € 6 911 699,13

Coordonné par

BERNER FACHHOCHSCHULE
Switzerland

Livrables

Websites, patent fillings, videos etc. (2)

First batch of communication materials

It consists of the set of logos templates the website the social network accounts the powerpoint general presentation

Second batch of communication materials

It consists of the factsheets posters rollup 1st video and acrobathons TShirts

Documents, reports (5)

Data Management Plan (V2)

Data Management Plan

Dissemination & Communication Plan update

This report adds details to the D72 and to the dissemination activities such as acrobathons providing answers to operational questions It gathers the list of activities already carried out

Robot Modules Architecture (Final version publishable)

Robot Modules Architecture Final version publishable

Reference architecture

The document will formally reflect the modules identified and the proposed architecture specification serving as the basis for its implementation This document will also include the test cases verifying the functionality of the proposed architecture in its first stable version

Initial Dissemination & Communication Plan

This report explains the dissemination strategy and plans concretely the dissemination activities

Other (1)

ACROBA Platform

First prototype of the Platform ready for adaptation and fine tuning in the Test cell WP3

Open Research Data Pilot (1)

Data Management Plan

Publications

Conference proceedings (6)

On the creation of a robotics software architecture for AI-based advanced applications

Auteurs: Ignacio Fidalgo, Alberto Tellaeche, Borja Sanz, Juan-Ignacio Vazquez, Iker Pastor
Publié dans: ETFA 2022, 2022
Éditeur: ETFA
DOI: 10.1109/etfa52439.2022.9921495

Computational ethology-based human behaviour modelling: first investigation for Human-Robot Collaboration

Auteurs: Guoyi Xia, Zied Ghrairi, Aaron Heuermann, Klaus-Dieter Thoben
Publié dans: TESConf 2022, 2022
Éditeur: TESConf
DOI: 10.57996/cran.ceres-4z19

Ontology Enabled Skill Based Robot Task Model and Notation (RTMN) for Modeling and Programming Robotic Processes

Auteurs: Congyu Zhang, Thomas Ribeaud
Publié dans: RAAI 2022, 2022
Éditeur: IEEE

Behavior Trees based Flexible Task Planner Built on ROS2 Framework

Auteurs: Thomas Ribeaud, Congyu Zhang
Publié dans: ETFA 2022, 2022
Éditeur: ETFA
DOI: 10.1109/etfa52439.2022.9921683

A method for multi-robot arm system implementation using the ROS framework

Auteurs: Ignacio Fidalgo, Alberto Tellaeche, Juan-Ignacio Vazquez
Publié dans: ICMECE 2022, 2022
Éditeur: ICMECE

Simulation based initial feasibility analysis pipeline for small-sized part picking

Auteurs: Iñigo Mendizabal, Antonio Tammaro, Marco ojer Andres, Xiao Lin
Publié dans: CEIG 2022, 2022
Éditeur: CEIG
DOI: 10.2312/ceig.20221139