AI-Driven Cognitive Robotic Platform for Agile Production environments

Informazioni relative al progetto

ACROBA

ID dell’accordo di sovvenzione: 101017284

DOI 10.3030/101017284

Data della firma CE 3 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 30 Giugno 2024

Finanziato da

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

Costo totale € 8 052 261,88

Contributo UE € 6 911 699,13

Coordinato da

BERNER FACHHOCHSCHULE
Switzerland

Risultati finali

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

Pubblicazioni

Conference proceedings (6)

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

Autori: Ignacio Fidalgo, Alberto Tellaeche, Borja Sanz, Juan-Ignacio Vazquez, Iker Pastor
Pubblicato in: ETFA 2022, 2022
Editore: ETFA
DOI: 10.1109/etfa52439.2022.9921495

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

Autori: Guoyi Xia, Zied Ghrairi, Aaron Heuermann, Klaus-Dieter Thoben
Pubblicato in: TESConf 2022, 2022
Editore: TESConf
DOI: 10.57996/cran.ceres-4z19

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

Autori: Congyu Zhang, Thomas Ribeaud
Pubblicato in: RAAI 2022, 2022
Editore: IEEE

Behavior Trees based Flexible Task Planner Built on ROS2 Framework

Autori: Thomas Ribeaud, Congyu Zhang
Pubblicato in: ETFA 2022, 2022
Editore: ETFA
DOI: 10.1109/etfa52439.2022.9921683

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

Autori: Ignacio Fidalgo, Alberto Tellaeche, Juan-Ignacio Vazquez
Pubblicato in: ICMECE 2022, 2022
Editore: ICMECE

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

Autori: Iñigo Mendizabal, Antonio Tammaro, Marco ojer Andres, Xiao Lin
Pubblicato in: CEIG 2022, 2022
Editore: CEIG
DOI: 10.2312/ceig.20221139