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Scalable automation for flexible production systems

Rezultaty

Scalable Human-robot interaction system

D3.4. Human-robot interaction results Report on the ScalABLE human-robot interaction system, including documentation.

Final Report on dissemination activities

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.

ScalABLE usability testing report

Final results from the usability evaluation made with different users after the forth test sprint.

Analysis of human-robot skill mapping

This deliverable is a report on the analysis of the mapping between robot skills and human action as described in SOPs.

Report on selected technologies for sensing, object recognition and localisation

This report described the selected sensors and the algorithms to be used in ScalABLE.

Algorithm to map hardware specific motion primitives to hardware independent generic skills.

This deliverable describes the algorithm that maps generic hardware-independent skills and to auto-generated (hardware-specific) skills.

Intermediate Report on dissemination activities

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.

ScalABLE safety analysis report.

This deliverable describes the results of the safety evaluation analysis performed after the forth test sprint.

ScalABLE safety analysis report (M34)

Deliverable that describes the results of the safety evaluation analysis performed after the third test sprint.

Ontology-based Reference Data Model

Report on the development of a semantic reference data model for information and knowledge representation, covering different stages of product and factory life cycle.

Report on integration interface specifications

This report specifies the interfaces required for the integration of the different scalable components and the information conversion logic.

Report on the development of process skills

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.

Report on Advanced Plant Model implementation

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.

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.

Skill definition for the ScalABLE project

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.

Report on the revision of interfaces standards and the contribution to the respective standardisation committees.

This deliverable describes the evaluation of the standards and will provide feedback to the standardisation entities about the integration process under ScaLABLE.

Report on skill integration into ScalABLE Advanced Plant Model

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.

Final report on integration interface requirements and coverage by existing standards

This deliverable will document relevant component interactions and the required exchange and format of information and map existing standards to the identified integration requirements.

Project Material

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

Factory Advanced Plant Model visualisation software (M40): Demonstration of the platform for manufacturing system visualisation and data analysis in real-time

Prototype for human-robot skill mapping

This deliverable is a prototype that demonstrates the mapping between robot skills and human action as described in SOPs.

Smart objects software module with service-oriented interfaces

Development of a web-platform capable of integrating smart objects as dynamic data sources of the semantic reference data model.

Process planning and execution software

Software module for process planning and execution.

Demonstration of vertical integration

Demonstration of the vertical integration for the project use cases.

Final Version of the ScalALBE robot prototype.

ScalABLE robot final prototype and documentation.

ScalALBE robot sensing system

This is the documented prototype of the ScalALBE robot sensing system

Simulation software model with multi-objective optimisation algorithms

Demonstartion of the simulation software capable of deploying simulation exercises based on static and dynamic data provided by smart objects.

Demonstration of horizontal integration

This report will describe the activities related with the low level integration activities describing developed software (bridges, p.e.).

Publikacje

Evaluation of Stanford NER for extraction of assembly information from instruction manuals

Autorzy: Carlos M. Costa, Germano Veiga, Armando Sousa, Sergio Nunes
Opublikowane w: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Strona(/y) 302-309, ISBN 978-1-5090-6234-8
Wydawca: IEEE
DOI: 10.1109/ICARSC.2017.7964092

Automatic generation of disassembly sequences and exploded views from solidworks symbolic geometric relationships

Autorzy: Carlos M. Costa, Germano Veiga, Armando Sousa, Luis Rocha, Eugenio Oliveira, Henrique Lopes Cardoso, Ulrike Thomas
Opublikowane w: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2018, Strona(/y) 211-218, ISBN 978-1-5386-5221-3
Wydawca: IEEE
DOI: 10.1109/ICARSC.2018.8374185

Bridging Automation and Robotics: an Interprocess Communication between IEC 61131–3 and ROS

Autorzy: Tiago Pinto, Rafael Arrais, Germano Veiga
Opublikowane w: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), 2018, Strona(/y) 1085-1091, ISBN 978-1-5386-4829-2
Wydawca: IEEE
DOI: 10.1109/indin.2018.8472057

Motion Generators Combined with Behavior Trees: A Novel Approach to Skill Modelling

Autorzy: Francesco Rovida, David Wuthier, Bjarne Grossmann, Matteo Fumagalli, Volker Kruger
Opublikowane w: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Strona(/y) 5964-5971, ISBN 978-1-5386-8094-0
Wydawca: IEEE
DOI: 10.1109/iros.2018.8594319

Continuous close-range 3D object pose estimation

Autorzy: Bjarne Grossmann, Francesco Rovida, Volker Kruger
Opublikowane w: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Strona(/y) 2861-2867, ISBN 978-1-7281-4004-9
Wydawca: IEEE
DOI: 10.1109/iros40897.2019.8967580

Modeling of video projectors in OpenGL for implementing a spatial augmented reality teaching system for assembly operations

Autorzy: Carlos M. Costa, Germano Veiga, Armando Sousa, Luis Rocha, A. Augusto Sousa, Rui Rodrigues, Ulrike Thomas
Opublikowane w: 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2019, Strona(/y) 1-8, ISBN 978-1-7281-3558-8
Wydawca: IEEE
DOI: 10.1109/icarsc.2019.8733617

Manufacturing Stacks: from Reference Models to Technology Stacks for Digital Manufacturing

Autorzy: Mathias Ludtke, Ludovic Delval, Jonathan Hechtbauer, Mirko Bordignon
Opublikowane w: 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019, Strona(/y) 414-419, ISBN 978-1-7281-0303-7
Wydawca: IEEE
DOI: 10.1109/etfa.2019.8869529

UML based reconfiguration rate analysis of assembly line depending on robot integration

Autorzy: Amélie Beauville dit Eynaud, Nathalie Klement, Lionel Roucoules, Olivier Gibaru, Laurent Durville
Opublikowane w: IFAC-PapersOnLine, Numer 51/11, 2018, Strona(/y) 1168-1173, ISSN 2405-8963
Wydawca: Elsevier/IFAC
DOI: 10.1016/j.ifacol.2018.08.432

Testing the vertical and cyber-physical integration of cognitive robots in manufacturing

Autorzy: Volker Krueger, Francesco Rovida, Bjarne Grossmann, Ronald Petrick, Matthew Crosby, Arnaud Charzoule, German Martin Garcia, Sven Behnke, Cesar Toscano, Germano Veiga
Opublikowane w: Robotics and Computer-Integrated Manufacturing, Numer 57, 2019, Strona(/y) 213-229, ISSN 0736-5845
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.rcim.2018.11.011

Optimal automatic path planner and design for high redundancy robotic systems

Autorzy: Pedro Tavares, Daniel Marques, Pedro Malaca, Germano Veiga, Pedro Costa, António P. Moreira
Opublikowane w: Industrial Robot: the international journal of robotics research and application, Numer 47/1, 2019, Strona(/y) 131-139, ISSN 0143-991X
Wydawca: Emerald Group Publishing Ltd.
DOI: 10.1108/ir-09-2018-0194

ROBIN: An open-source middleware for plug‘n’produce of Cyber-Physical Systems

Autorzy: Rafael Arrais, Paulo Ribeiro, Henrique Domingos, Germano Veiga
Opublikowane w: International Journal of Advanced Robotic Systems, Numer 17/3, 2020, Strona(/y) 172988142091031, ISSN 1729-8814
Wydawca: SAGE
DOI: 10.1177/1729881420910316

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