Symbiotic Human-Robot Collaborative Assembly: Technologies, Innovations and Competitiveness

Informazioni relative al progetto

SYMBIO-TIC

ID dell’accordo di sovvenzione: 637107

DOI 10.3030/637107

Progetto chiuso

Data della firma CE 11 Novembre 2014

Data di avvio 1 Aprile 2015

Data di completamento 31 Marzo 2019

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Costo totale € 7 223 033,25

Contributo UE € 6 451 703,00

Coordinato da

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden

Risultati finali

Demonstrators, pilots, prototypes (6)

Planning & control cockpit

A planning and control cockpit implemented

Demonstrator 1 completion

The first demo on food packaging completed.

Collision avoidance subsystem

A subsystem implemented for active collision avoidance

Integrated suite to human workers

An integrated suite with multimodal sensors for mobile workers

Demonstrator 3 completion

The third demo on automotive component assembly completed.

Demonstrator 2 completion

The second demo on aeronautic component assembly completed.

Documents, reports (8)

Dissemination report

A final dissemination report completed, documenting relevant activities and publications.

Report on task instructions

A report on assembly task instructions for worker assistance

Report on shared task planning

A technical report on dynamic planning of shared tasks between humans and robots

Standardisation report

A report documenting standardisation activities and the outcomes is finalised.

Specifications of multimodal data communication

A document on multimodal data communication for the consortium and others

Ecosystem report

A final report on the ecosystem created by the SYMBIO-TIC project.

Report on comparative analysis

A technical report documenting results of a comparative analysis of the three demonstrators and the technologies used.

Report on software module implementation

A technical report documenting details of active robot control

Other (1)

Worker identification prototype

A prototype that can identify a mobile worker in factory environment

Pubblicazioni

Peer reviewed articles (8)

Towards Robust Human-Robot Collaborative Manufacturing: Multimodal Fusion

Autori: H. Liu, T. Fang, T. Zhou and L. Wang
Pubblicato in: IEEE Access, 2018, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.

Robot Guidance Using Machine Vision Techniques in Industrial Environments: A Comparative Review

Autori: Luis Pérez, Íñigo Rodríguez, Nuria Rodríguez, Rubén Usamentiaga, Daniel García
Pubblicato in: Sensors, Numero 16/3, 2016, Pagina/e 335, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s16030335

Visual Assembling Guidance Using Augmented Reality

Autori: Anna Syberfeldt, Oscar Danielsson, Magnus Holm, Lihui Wang
Pubblicato in: Procedia Manufacturing, Numero 1, 2015, Pagina/e 98-109, ISSN 2351-9789
Editore: Elsevier
DOI: 10.1016/j.promfg.2015.09.068

Support Systems on the Industrial Shop-floors of the Future – Operators’ Perspective on Augmented Reality

Autori: Anna Syberfeldt, Magnus Holm, Oscar Danielsson, Lihui Wang, Rodney Lindgren Brewster
Pubblicato in: Procedia CIRP, Numero 44, 2016, Pagina/e 108-113, ISSN 2212-8271
Editore: Procedia CIRP
DOI: 10.1016/j.procir.2016.02.017

Human–robot collaborative assembly in cyber-physical production: Classification framework and implementation

Autori: Xi Vincent Wang, Zsolt Kemény, József Váncza, Lihui Wang
Pubblicato in: CIRP Annals, Numero 66/1, 2017, Pagina/e 5-8, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2017.04.101

Adaptive instructions to novice shop-floor operators using Augmented Reality

Autori: Magnus Holm, Oscar Danielsson, Anna Syberfeldt, Philip Moore, Lihui Wang
Pubblicato in: Journal of Industrial and Production Engineering, Numero 34/5, 2017, Pagina/e 362-374, ISSN 2168-1015
Editore: Taylor & Francis
DOI: 10.1080/21681015.2017.1320592

Decomposition approach to optimal feature-based assembly planning

Autori: Csaba Kardos, András Kovács, József Váncza
Pubblicato in: CIRP Annals, Numero 66/1, 2017, Pagina/e 417-420, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2017.04.002

Optimized joint motion planning for redundant industrial robots

Autori: Gábor Erdős, András Kovács, József Váncza
Pubblicato in: CIRP Annals, Numero 65/1, 2016, Pagina/e 451-454, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2016.04.024

Conference proceedings (9)

Symbiotic Human-Robot Collaborative Assembly

Autori: Lihui Wang
Pubblicato in: 2015
Editore: CIRP 2015

Towards feature-based human-robot assembly process planning

Autori: Csaba Kardos, András Kovács, József Váncza
Pubblicato in: 2016
Editore: 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016)

Dynamic Operator Instructions Based on Augmented Reality and Rule-based Expert Systems

Autori: Syberfeldt, Anna, Oscar Danielsson, Magnus Holm, and Lihui Wang.
Pubblicato in: Procedia CIRP, Numero Volume 41, 2016, Pagina/e 46-351
Editore: Elsevier

Assessing Instructions in Augmented Reality for Human-robot Collaborative Assembly by Using Demonstrators

Autori: Danielsson, Oscar, Anna Syberfeldt, Rodney Brewster, and Lihui Wang
Pubblicato in: 2017
Editore: Elsevier

Human-robot Collaboration Demonstrator Combining Speech Recognition and Haptic Control

Autori: Gustavsson, Patrik, Anna Syberfeldt, Rodney Brewster, and Lihui Wang
Pubblicato in: 2017
Editore: Elsevier

Localizing operators in the smart factory: A review of existing techniques and systems

Autori: Anna Syberfeldt, Mikael Ayani, Magnus Holm, Lihui Wang, Rodney Lindgren-Brewster
Pubblicato in: 2016 International Symposium on Flexible Automation (ISFA), 2016, Pagina/e 179-185, ISBN 978-1-5090-3467-3
Editore: IEEE
DOI: 10.1109/ISFA.2016.7790157

"Kardosa, Csaba, and József Vánczaa. ""Application of generic CAD models for supporting feature based assembly process planning"

Autori: Kardosa, Csaba, and József Vánczaa
Pubblicato in: 2017
Editore: Elsevier

Safe collaboration of operators and industrial robots

Autori: Malm T., Salmi T., Marstio I., Montonen J
Pubblicato in: 2017
Editore: Automaatiopäivät22 2017 Seminar

Dynamic safety system for collaboration of operators and industrial robots

Autori: Malm T., Salmi T., Marstio I., Montonen J.
Pubblicato in: 2017
Editore: 2017

Book chapters (1)

Augmented Reality at the Industrial Shop-Floor

Autori: Anna Syberfeldt, Oscar Danielsson, Magnus Holm, Tom Ekblom
Pubblicato in: Augmented and Virtual Reality, 2014, Pagina/e 201-209, ISBN 978-3-319-13969-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-13969-2_16

Other (6)

Der „symbiotische“ Roboter wird von PROFACTOR mitentwickelt

Autori: PROFACTOR
Pubblicato in: 2015
Editore: PROFACTOR

EU-Projekt Symbio-TIC gestartet

Autori: Fraunhofer IPA
Pubblicato in: 2015
Editore: Fraunhofer IPA

Arranca oficialmente el proyecto europeo SYMBIO-TIC: nuevas tecnologías para una mayor automatización de la industria manufacturera europea

Autori: PRODINTEC
Pubblicato in: 2015
Editore: PRODINTEC

Nuevas tecnologías para una mayor automatización de la industria manufacturera europea

Autori: IK4 IDEKO
Pubblicato in: 2015
Editore: IK4 IDEKO

Proyecto Europeo H2020 SYMBIO-TIC con la participación de PRODINTEC

Autori: PRODINTEC
Pubblicato in: 2015
Editore: HispaRob

Poster and Demo of an ABB Robot Interface for SYMBIO-TIC

Autori: Jon Tjerngren
Pubblicato in: 2016
Editore: ICRA 2016 Conference

Thesis and dissertations (2)

Pick and place task using UR5 industrial robot

Autori: Ádám Benke
Pubblicato in: 2016
Editore: Budapest University of Technology and Economics

Complex extension of research laboratory

Autori: Kristóf Abai
Pubblicato in: 2016
Editore: Budapest University of Technology and Economics

Diritti di proprietà intellettuale

Patent (2)

SYSTEM FOR CONTROLLING THE POSITION OF A TOOL AND METHOD OF CONTROLLING THE POSITION OF SAID TOOL

Numero candidatura/pubblicazione: EP 17163860
Data: 2017-03-30
Candidato/i: IDEKO S COOP

SYSTEM FOR CONTROLLING THE POSITION OF A TOOL AND METHOD OF CONTROLLING THE POSITION OF SAID TOOL

Numero candidatura/pubblicazione: EP 17163860
Data: 2017-03-30
Candidato/i: IDEKO S COOP