RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing

Deliverables

Documents, reports (14)

Demonstration Report on Use Case

Activities performed stakeholders involved main findings further implementation roadmap input for exploitation material on the SCHINDLER use case

Semantic Scene Map

This deliverable will contain a description of the software and of the algorithms that implement the semantic scene map

ROSSINI Platform Specifications

Specifications for an integrated set of components for robotic workcells capable of increasing job quality and reducing reconfiguration time

Data Management Plan

Data Management Plan (DMP): The plan will describe ways to manage all research data, and metadata, during and after the project duration; open data sets, means to access, updating, etc

"Demonstration Report on Use Case #3"

Demonstration Report on Use Case 3 R P M42 Activities performed stakeholders involved main findings further implementation roadmap input for exploitation material on the IMA use case

Standardization Report

Description of ROSSINI standards adherence justification of standardisation elements triggering discussions in relevant bodies

Dissemination and Communication activities

Final report for all communication and dissemination plans dissemination activities enacted events organised andor attended press releases etc

State of the Art Analysis

Report on the analysis of SoA, existing/past projects; opportunities/threats

Final PEDR

Final PEDR version similar structure as D92

2nd Interim PEDR

PEDR update, similar structure as D9.2.

Collision tests results

Results of model validation for the new method for assessing transient contact.

"Demonstration Report on Use Case #1"

Activities performed stakeholders involved findings further implementation roadmap input for exploitation material on the WHIRLPOOL use case

1st Interim PEDR

The 1st version containing IPR and knowledge management; exploitation plans; dissemination activities enacted.

OECD-based metrics

A list of OECD based metrics that can be evaluated on (sub)task levels. The metrics can be directly linked to the OECD job quality index.

Other (5)

EFFRA Innovation Portal - RP1

The deliverable will detail the submission of the project’s progress in the Innovation Portal of EFFRA for RP1

Project Website

The project website will be developed and continuously updated with project progress information.

Design tool for industrial human-robot collaboration

Software to evaluate process designs and HRC on multiple dimensions (job quality (D6.1), productivity, product quality and cost).

Platform Design Tool

Desktopbased tool and GUI

EFFRA Innovation Portal - RP2

The deliverable will detail the submission of the projects progress in the Innovation Portal of EFFRA for RP2

Demonstrators, pilots, prototypes (1)

Collaborative Robot Prototype

1 prototype for installation at end users site low payload for SCHINDLER

Publications

Peer reviewed articles (2)

A Safety-Aware Kinodynamic Architecture for Human-Robot Collaboration

Author(s): Andrea Pupa, Mohammad Arrfou, Gildo Andreoni, Cristian Secchi
Published in: IEEE Robotics and Automation Letters, 6/3, 2021, Page(s) 4465-4471, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2021.3068634

A Human-Centered Dynamic Scheduling Architecture for Collaborative Application

Author(s): Andrea Pupa, Wietse Van Dijk, Cristian Secchi
Published in: IEEE Robotics and Automation Letters, 6/3, 2021, Page(s) 4736-4743, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2021.3068888

Conference proceedings (3)

A New Conversion Method to Evaluate the Hazard Potential of Collaborative Robots in Free Collisions

Author(s): Sebastian Herbster,Roland Behrens,Norbert Elkmann
Published in: Experimental Robotics. ISER 2020. Springer Proceedings in Advanced Robotics, volume 19, 2021, Page(s) 222-232, ISBN 978-3-030-71151-1
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-71151-1

A Safety Kinodynamic Planning Framework for Human-Robot Collaboration

Author(s): Pupa, Andrea; Arrfou, Mohammad; Andreoni, Gildo; Secchi, Cristian
Published in: 2, 2021
Publisher: collaborate project website
DOI: 10.5281/zenodo.4964546

A New Conversion Method to Evaluate the Hazard Potential of Collaborative Robots in Free Collisions

Author(s): Herbster, S., Behrens, R., Elkmann, N.
Published in: Springer Proceedings in Advanced Robotics, vol 19, 2021, ISBN 978-3-030-71151-1
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-71151-1_20

Non-peer reviewed articles (2)

Enabling safe andefficient human-robotcollaboration acrossEurope with the ROSSINI project

Author(s): Riccardo Masierο, Cristian Secchi , Hornicak Miroslav , Federico Filzi , Alessandro Carapia , Giulia Di Bari, Matteo Zanaroli
Published in: ENGINSOFT, The Simulation Based Engineering & Sciences Magazine Newsletter, Year 17 n°4 Winter 2020, 2020, Page(s) 46,47,48, ISSN 0000-0000
Publisher: ENGINSOFT

AI = f(?) Artificial Intelligence as mathematical model.

Author(s): Riccardo Masierο
Published in: Italian Association of Ergonomics magazine, volume 21, year 2020, 2020, Page(s) 63-90, ISSN 2531-8845
Publisher: Italian ergonomics society

Other (2)

Robot-human collaboration to empower European manufacturing

Author(s): CRIT, DATALOGIC
Published in: Article in CORDIS website, 2021
Publisher: CORDIS

DON’T FORGET THE HUMAN IN HUMAN ROBOT COLLABORATION

Author(s): Frank Krause, Michiel de Looze
Published in: 2021
Publisher: Rossini project website

Book chapters (2)

A Dynamic Architecture for Task Assignment and Scheduling for Collaborative Robotic Cells

Author(s): Andrea Pupa, Chiara Talignani Landi, Mattia Bertolani, Cristian Secchi
Published in: Human-Friendly Robotics 2020 - 13th International Workshop, 18, 2021, Page(s) 74-88, ISBN 978-3-030-71355-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-71356-0_6

"""Collaborative Robots: Overview and Future Trends"""

Author(s): Mattia Zamboni, Anna Valente
Published in: Industrial Robots: Design, Applications and Technology, 2020, Page(s) Chapter 8, ISBN 978-1-53617-779-4
Publisher: Nova