Development of a multifunctional system for complex aerostructures ASSembly, ASSisted by Neural Network

Project Information

AssAssiNN

Grant agreement ID: 886977

DOI

10.3030/886977

Project closed

EC signature date 21 April 2020

Start date 1 July 2020

End date 31 December 2022

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost

€ 1 005 677,50

EU contribution

€ 899 252,50

Coordinated by

ASOCIACION CENTRO TECNOLOGICO CEIT
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Final publishable project report

Publications

Non-peer reviewed articles (4)

6D Virtual Sensor for Wrench Estimation in Robotized Interaction Tasks Exploiting Extended Kalman Filter

Author(s): Loris Roveda, Andrea Bussolan, Francesco Braghin, Dario Piga
Published in: Machines, Issue 8/4, 2020, Page(s) 67, ISSN 2075-1702
Publisher: MDPI
DOI: 10.3390/machines8040067

Human–robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization

Author(s): Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca
Published in: Robotics and Autonomous Systems, Issue 136, 2021, Page(s) 103711, ISSN 0921-8890
Publisher: Elsevier BV
DOI: 10.1016/j.robot.2020.103711

Robot control parameters auto-tuning in trajectory tracking applications

Author(s): Loris Roveda, Marco Forgione, Dario Piga
Published in: Control Engineering Practice, Issue 101, 2020, Page(s) 104488, ISSN 0967-0661
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.conengprac.2020.104488

Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks

Author(s): Loris Roveda, Dario Piga
Published in: International Journal of Intelligent Robotics and Applications, Issue 4/4, 2020, Page(s) 507-519, ISSN 2366-5971
Publisher: Springer
DOI: 10.1007/s41315-020-00153-0