Deliverables
D3.4. Human-robot interaction results Report on the ScalABLE human-robot interaction system, including documentation.
This report will give an overview of the dissemination and exploitation activities, articles published by the consortium, a press review and the patents filed. In addition, it will also quantify the measurable outcome of those activities, such as including website activity, citations among others. It will combine the results from dissemination activities towards academia and industry.
Final results from the usability evaluation made with different users after the forth test sprint.
This deliverable is a report on the analysis of the mapping between robot skills and human action as described in SOPs.
This report described the selected sensors and the algorithms to be used in ScalABLE.
This deliverable describes the algorithm that maps generic hardware-independent skills and to auto-generated (hardware-specific) skills.
This report will give an intermediate overview of the dissemination and exploitation activities, articles published by the consortium, a press review and the patents filed. In addition, it will also quantify the measurable outcome of those activities, such as including website activity, citations among others. It will combine the results from dissemination activities towards academia and industry.
This deliverable describes the results of the safety evaluation analysis performed after the forth test sprint.
Deliverable that describes the results of the safety evaluation analysis performed after the third test sprint.
Report on the development of a semantic reference data model for information and knowledge representation, covering different stages of product and factory life cycle.
This report specifies the interfaces required for the integration of the different scalable components and the information conversion logic.
This report will provide the complete information on how the process skills were implemented, the definition of the formalism, the hardware abstraction with P’n’P, and the results from the experiments.
This report documents the final structure of the advanced plant model and its underlying semantics.
Specification of Hardware System Model that promotes capabilities of flexible robotic equipment to the upper skill framework. This deliverable specifies the final version of the Hardware System model and back-end for service discovery and describes usability tests.
This deliverable will define the most appropriate set of skills to handle ScalABLE use-case tasks, also resulting from the mapping performed in T4.3.
This deliverable describes the evaluation of the standards and will provide feedback to the standardisation entities about the integration process under ScaLABLE.
This report will summarise the use of skills and tasks within the ScalABLE project, defining its interfaces with the MES/MIS through the Advanced Plant Model.
This deliverable will document relevant component interactions and the required exchange and format of information and map existing standards to the identified integration requirements.
D7.1 This deliverable includes all the project material, including template files for presentation, a template for videos and a project flyer.
Factory Advanced Plant Model visualisation software (M40): Demonstration of the platform for manufacturing system visualisation and data analysis in real-time
This deliverable is a prototype that demonstrates the mapping between robot skills and human action as described in SOPs.
Development of a web-platform capable of integrating smart objects as dynamic data sources of the semantic reference data model.
Software module for process planning and execution.
Demonstration of the vertical integration for the project use cases.
ScalABLE robot final prototype and documentation.
This is the documented prototype of the ScalALBE robot sensing system
Demonstartion of the simulation software capable of deploying simulation exercises based on static and dynamic data provided by smart objects.
This report will describe the activities related with the low level integration activities describing developed software (bridges, p.e.).
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Publications
Author(s): Carlos M. Costa, Germano Veiga, Armando Sousa, Sergio Nunes
Published in: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Page(s) 302-309, ISBN 978-1-5090-6234-8
Publisher: IEEE
DOI: 10.1109/ICARSC.2017.7964092
Author(s): Carlos M. Costa, Germano Veiga, Armando Sousa, Luis Rocha, Eugenio Oliveira, Henrique Lopes Cardoso, Ulrike Thomas
Published in: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2018, Page(s) 211-218, ISBN 978-1-5386-5221-3
Publisher: IEEE
DOI: 10.1109/ICARSC.2018.8374185
Author(s): Tiago Pinto, Rafael Arrais, Germano Veiga
Published in: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), 2018, Page(s) 1085-1091, ISBN 978-1-5386-4829-2
Publisher: IEEE
DOI: 10.1109/indin.2018.8472057
Author(s): Francesco Rovida, David Wuthier, Bjarne Grossmann, Matteo Fumagalli, Volker Kruger
Published in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Page(s) 5964-5971, ISBN 978-1-5386-8094-0
Publisher: IEEE
DOI: 10.1109/iros.2018.8594319
Author(s): Bjarne Grossmann, Francesco Rovida, Volker Kruger
Published in: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Page(s) 2861-2867, ISBN 978-1-7281-4004-9
Publisher: IEEE
DOI: 10.1109/iros40897.2019.8967580
Author(s): Carlos M. Costa, Germano Veiga, Armando Sousa, Luis Rocha, A. Augusto Sousa, Rui Rodrigues, Ulrike Thomas
Published in: 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2019, Page(s) 1-8, ISBN 978-1-7281-3558-8
Publisher: IEEE
DOI: 10.1109/icarsc.2019.8733617
Author(s): Mathias Ludtke, Ludovic Delval, Jonathan Hechtbauer, Mirko Bordignon
Published in: 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019, Page(s) 414-419, ISBN 978-1-7281-0303-7
Publisher: IEEE
DOI: 10.1109/etfa.2019.8869529
Author(s): Amélie Beauville dit Eynaud, Nathalie Klement, Lionel Roucoules, Olivier Gibaru, Laurent Durville
Published in: IFAC-PapersOnLine, 51/11, 2018, Page(s) 1168-1173, ISSN 2405-8963
Publisher: Elsevier/IFAC
DOI: 10.1016/j.ifacol.2018.08.432
Author(s): Volker Krueger, Francesco Rovida, Bjarne Grossmann, Ronald Petrick, Matthew Crosby, Arnaud Charzoule, German Martin Garcia, Sven Behnke, Cesar Toscano, Germano Veiga
Published in: Robotics and Computer-Integrated Manufacturing, 57, 2019, Page(s) 213-229, ISSN 0736-5845
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.rcim.2018.11.011
Author(s): Pedro Tavares, Daniel Marques, Pedro Malaca, Germano Veiga, Pedro Costa, António P. Moreira
Published in: Industrial Robot: the international journal of robotics research and application, 47/1, 2019, Page(s) 131-139, ISSN 0143-991X
Publisher: Emerald Group Publishing Ltd.
DOI: 10.1108/ir-09-2018-0194
Author(s): Rafael Arrais, Paulo Ribeiro, Henrique Domingos, Germano Veiga
Published in: International Journal of Advanced Robotic Systems, 17/3, 2020, Page(s) 172988142091031, ISSN 1729-8814
Publisher: SAGE
DOI: 10.1177/1729881420910316