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Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing

Deliverables

D6.1b Innovation, Dissemination and Communication Action Plan

D6.1 Innovation, Dissemination and Communication Action Plan (M4, M18, M36)

D4.3b AUTOWARE Open CPPS ecosystem development

D4.3 AUTOWARE Open CPPS ecosystem development (M18, M27) This document will describe the plan to implement the various features of the Open CPPS ecosystem in the two releases.

D3.2b AUTOWARE Software Defined Autonomous Service Platform development

D3.2 AUTOWARE Software Defined Autonomous Service Platform development (M18, M27) This document will describe the plan to implement the various features of the Software Defined Autonomous Service Platform in the two releases.

D6.2b AUTOWARE Regional Awareness and Ecosystem Building Action Plan

D6.2 AUTOWARE Regional Awareness and Ecosystem Building Action Plan (M24, M36)

D6.1a Innovation, Dissemination and Communication Action Plan

D6.1 Innovation, Dissemination and Communication Action Plan (M4, M18, M36)

D2.4a AUTOWARE Data Management and Distribution

D2.4 AUTOWARE Data Management and Distribution (M21, M30). This document will describe AUTOWARE’s proposals for self-adaptive and cognitive-based data management and distribution schemes designed to enhance the reconfigurability of automation processes.

D1.2a Data-driven digital manufacturing requirements & KPIs

D1.2 Data-driven digital manufacturing requirements & KPIs (M6, M21) This document collects all requirements and KPIs defined to measure technical, business and organisational performance.

D6.2a AUTOWARE Regional Awareness and Ecosystem Building Action Plan

D6.2 AUTOWARE Regional Awareness and Ecosystem Building Action Plan (M24, M36)

D2.2b AUTOWARE Deterministic Ethernet Communications

D2.2 AUTOWARE Deterministic Ethernet Communications (M21, M30). This document will describe the Deterministic Ethernet solutions designed for the provision of reliable, flexible and reconfigurable communications in CPPS.

D1.4b AUTOWARE Guideliness

D1.4 AUTOWARE Guideliness (M21, M36) This document will provide the assessment of the KPIs obtained through reference implementation and piloting activities and conclude guidelines and recommendations for the AUTOWARE ecosystem stakeholders.

D1.1 Use case scenarios and requirement elicitation framework

D1.1 Use case scenarios and requirement elicitation framework (M4) This document describes the framework and methodologies set for use case build-up, requirement management and the scenarios developed.

D2.1 Reference architecture for Wireless Mobile CPPS Connectivity & Data Management

D2.1 Reference architecture for Wireless Mobile CPPS Connectivity & Data Management (M15). This document will describe AUTOWARE’s architecture that will integrate heterogeneous communications and networking solutions to connect CPPS and facilitate data management and distribution.

D1.2b Data-driven digital manufacturing requirements & KPIs

D1.2 Data-driven digital manufacturing requirements & KPIs (M6, M21) This document collects all requirements and KPIs defined to measure technical, business and organisational performance.

D2.4b AUTOWARE Data Management and Distribution

D2.4 AUTOWARE Data Management and Distribution (M21, M30). This document will describe AUTOWARE’s proposals for self-adaptive and cognitive-based data management and distribution schemes designed to enhance the reconfigurability of automation processes.

D2.2a AUTOWARE Deterministic Ethernet Communications

D2.2 AUTOWARE Deterministic Ethernet Communications (M21, M30). This document will describe the Deterministic Ethernet solutions designed for the provision of reliable, flexible and reconfigurable communications in CPPS.

D1.4a AUTOWARE Guideliness

D1.4 AUTOWARE Guideliness (M21, M36) This document will provide the assessment of the KPIs obtained through reference implementation and piloting activities and conclude guidelines and recommendations for the AUTOWARE ecosystem stakeholders.

D4.1 Digital SME manufacturing analysis and identification of challenges

D4.1 Digital SME manufacturing analysis and identification of challenges (M12) This document will describe the challenges that SMEs face when trying to deal with industrial ecosystems and tools.

D7.2b AUTOWARE Standardisation and Regional Expansion Report

D7.2 AUTOWARE Standardisation and Regional Expansion Report (M18, M36)

D3.4 AUTOWARE Software Defined Autonomous Service Platform lessons learned

D3.4 AUTOWARE Software Defined Autonomous Service Platform lessons learned (M33) This document will describe the lessons learned for setting up and operating the AUTOWARE Software Defined Autonomous Service Platform.

D1.3a AUTOWARE Cognitive Digital Automation Framework

D1.3 AUTOWARE Cognitive Digital Automation Framework (M12, M24) This document will describe the technical and organisational framework that will integrate the smart infrastructures, smart service platforms and smart stakeholders platforms.

D4.5 AUTOWARE Open CPPS ecosystem lessons learned

D4.5 AUTOWARE Open CPPS ecosystem lessons learned (M33) This document will describe the lessons learned for setting up and operating the AUTOWARE Open CPPS ecosystem.

D4.3a AUTOWARE Open CPPS ecosystem development

D4.3 AUTOWARE Open CPPS ecosystem development (M18, M27) This document will describe the plan to implement the various features of the Open CPPS ecosystem in the two releases.

D6.1c Innovation, Dissemination and Communication Action Plan

D6.1 Innovation, Dissemination and Communication Action Plan (M4, M18, M36)

D2.3b AUTOWARE Wireless Industrial Communications and Networking

D2.3 AUTOWARE Wireless Industrial Communications and Networking (M21, M30). This document will describe AUTOWARE’s contributions towards the design of low latency and high reliability deterministic industrial wireless networks capable to support more flexible and reconfigurable CPPS.

D8.3b RIA Coordination and Performance Indicators Measurement

D8.3 RIA Coordination and Performance Indicators Measurement (M18, M36) The deliverable measures the indicators. 1 midterm and 1 final issue are planned covering the project technical and scientific progress.

D7.2a AUTOWARE Standardisation and Regional Expansion Report

D7.2 AUTOWARE Standardisation and Regional Expansion Report (M18, M36)

D2.3a AUTOWARE Wireless Industrial Communications and Networking

D2.3 AUTOWARE Wireless Industrial Communications and Networking (M21, M30). This document will describe AUTOWARE’s contributions towards the design of low latency and high reliability deterministic industrial wireless networks capable to support more flexible and reconfigurable CPPS.

D4.2 Reference architecture for AUTOWARE Open CPPS ecosystem

D4.2 Reference architecture for AUTOWARE Open CPPS ecosystem (M12) This document will describe the reference architecture and specification for the Open CPPS ecosystem.

D2.5 Wireless Mobile CPPS Connectivity & Data Management lessons learned

D2.5 Wireless Mobile CPPS Connectivity & Data Management lessons learned (M33) This document will describe the lessons learned for setting up and operating the AUTOWARE Wireless Mobile CPPS Connectivity & Data Management

D3.2a AUTOWARE Software Defined Autonomous Service Platform development

D3.2 AUTOWARE Software Defined Autonomous Service Platform development (M18, M27) This document will describe the plan to implement the various features of the Software Defined Autonomous Service Platform in the two releases.

D1.3b AUTOWARE Cognitive Digital Automation Framework

D1.3 AUTOWARE Cognitive Digital Automation Framework (M12, M24) This document will describe the technical and organisational framework that will integrate the smart infrastructures, smart service platforms and smart stakeholders platforms.

D3.1 Reference architecture for Software Defined Autonomous Service Platform

D3.1 Reference architecture for Software Defined Autonomous Service Platform (M12) This document will describe the reference architecture, definition and modular specification of the Software Defined Autonomous Service Platform, taking into account the three scales (edge, cloud and HPC).

D5.1b Pilot site set up and data collection

D5.1 Pilot site set up and data collection (M15, M27)

D5.1a Pilot site set up and data collection

D5.1 Pilot site set up and data collection (M15, M27)

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Publications

Door opening by joining reinforcement learning and intelligent control

Author(s): Bojan Nemec, Leon Zlajpah, Ales Ude
Published in: 2017 18th International Conference on Advanced Robotics (ICAR), 2017, Page(s) 222-228
DOI: 10.1109/ICAR.2017.8023522

The AUTOWARE Framework and Requirements for the Cognitive Digital Automation, Collaboration in a Data-Rich World

Author(s): Elias Molina, Oscar Lazaro, Miguel Sepulcre, Javier Gozalvez, Andrea Passarella, Theofanis P. Raptis, Aleš Ude, Bojan Nemec, Martijn Rooker, Franziska Kirstein, Eelke Mooij
Published in: 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, 2017, Page(s) 107-117
DOI: 10.1007/978-3-319-65151-4_10

Arquitectura de Red de Comunicaciones Inalámbricas para la Industria 4.0

Author(s): M. Carmen Lucas-Estañ, Miguel Sepulcre, Javier Gozálvez
Published in: XXXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2018), 2018

A software defined hierarchical communication and data management architecture for industry 4.0

Author(s): M. Carmen Lucas-Estan, Theofanis P. Raptis, Miguel Sepulcre, Andrea Passarella, Cristina Regueiro, Oscar Lazaro
Published in: 2018 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Issue 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS), 2018, Page(s) 37-44
DOI: 10.23919/WONS.2018.8311660

An Efficient PbD Framework for Fast Deployment of Bi-Manual Assembly Tasks

Author(s): Bojan Nemec, Leon Zlajpah, Sebastjan Slajpa, Jozica Piskur, Ales Ude
Published in: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 2018, Page(s) 166-173
DOI: 10.1109/humanoids.2018.8625010

Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks

Author(s): Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto
Published in: 2019 International Conference on Robotics and Automation (ICRA), 2019, Page(s) 2111-2117
DOI: 10.1109/icra.2019.8794253

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives

Author(s): Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto
Published in: 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, Page(s) 1-6
DOI: 10.1109/icra.2018.8460954

Maximizing industrial IoT network lifetime under latency constraints through edge data distribution

Author(s): Theofanis P. Raptis, Andrea Passarella, Marco Conti
Published in: 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 2018, Page(s) 708-713
DOI: 10.1109/icphys.2018.8390794

An Experimental Evaluation of Redundancy in Industrial Wireless Communications

Author(s): M.C. Lucas-Estan, J.L. Maestre, B. Coll-Perales, J. Gozalvez, I. Lluvia
Published in: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, Page(s) 1075-1078
DOI: 10.1109/etfa.2018.8502497

A distributed data management scheme for industrial IoT environments

Author(s): Theofanis P. Raptis, Andrea Passarella
Published in: 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2017, Page(s) 196-203
DOI: 10.1109/wimob.2017.8115846

Modular augmented reality platform for smart operator in production environment

Author(s): Jumyung Um, Jens Popper, Martin Ruskowski
Published in: 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 2018, Page(s) 720-725
DOI: 10.1109/icphys.2018.8390796

On the Performance of Data Distribution Methods for Wireless Industrial Networks

Author(s): Theofanis P. Raptis, Andrea Formica, Elena Pagani, Andrea Passarella
Published in: "2019 IEEE 20th International Symposium on ""A World of Wireless, Mobile and Multimedia Networks"" (WoWMoM)", 2019, Page(s) 1-6
DOI: 10.1109/wowmom.2019.8793020

Enabling reliable visual quality control in smart factories through TSN

Author(s): Jens Popper, Carsten Harms, Martin Ruskowski
Published in: 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 2019

Performance Analysis of a Device-to-Device Offloading Scheme for Vehicular Networks

Author(s): Loreto Pescosolido, Marco Conti, Andrea Passarella
Published in: "2018 IEEE 19th International Symposium on ""A World of Wireless, Mobile and Multimedia Networks"" (WoWMoM)", 2018, Page(s) 1-5
DOI: 10.1109/wowmom.2018.8449819

Latency-Based 5G RAN Slicing Descriptor to Support Deterministic Industry 4.0 Applications

Author(s): Jan García-Morales, M.Carmen Lucas-Estañ, Javier Gozalvez
Published in: Proceedings of the IEEE 24rd International Conference on Emerging Technologies and Factory Automation (ETFA 2019), 10-13 September, 2019, Zaragoza, Spain., 2019

Human robot cooperation with compliance adaptation along the motion trajectory

Author(s): Bojan Nemec, Nejc Likar, Andrej Gams, Aleš Ude
Published in: Autonomous Robots, 2017, ISSN 0929-5593
DOI: 10.1007/s10514-017-9676-3

On the Capacity of 5G NR Grant-Free Scheduling with Shared Radio Resources to Support Ultra-Reliable and Low-Latency Communications

Author(s): M. Carmen Lucas-Estañ, Javier Gozalvez, Miguel Sepulcre
Published in: Sensors, Issue 19/16, 2019, Page(s) 3575, ISSN 1424-8220
DOI: 10.3390/s19163575

Latency-Sensitive 5G RAN Slicing for Industry 4.0

Author(s): Jan Garcia-Morales, M. Carmen Lucas-Estan, Javier Gozalvez
Published in: IEEE Access, 2019, Page(s) 1-1, ISSN 2169-3536
DOI: 10.1109/access.2019.2944719

Load Balancing for Reliable Self-Organizing Industrial IoT Networks

Author(s): M. Carmen Lucas-Estan, Javier Gozalvez
Published in: IEEE Transactions on Industrial Informatics, Issue 15/9, 2019, Page(s) 5052-5063, ISSN 1551-3203
DOI: 10.1109/tii.2019.2898173

Performance Analysis of Latency-Aware Data Management in Industrial IoT Networks

Author(s): Theofanis Raptis, Andrea Passarella, Marco Conti
Published in: Sensors, Issue 18/8, 2018, Page(s) 2611, ISSN 1424-8220
DOI: 10.3390/s18082611

Data Management in Industry 4.0: State of the Art and Open Challenges

Author(s): Theofanis P. Raptis, Andrea Passarella, Marco Conti
Published in: IEEE Access, Issue 7, 2019, Page(s) 97052-97093, ISSN 2169-3536
DOI: 10.1109/access.2019.2929296

Emerging Trends in Hybrid Wireless Communication and Data Management for the Industry 4.0

Author(s): M. Lucas-Estañ, Miguel Sepulcre, Theofanis Raptis, Andrea Passarella, Marco Conti
Published in: Electronics, Issue 7/12, 2018, Page(s) 400, ISSN 2079-9292
DOI: 10.3390/electronics7120400

D2D data offloading in vehicular environments with optimal delivery time selection

Author(s): Loreto Pescosolido, Marco Conti, Andrea Passarella
Published in: Computer Communications, Issue 146, 2019, Page(s) 63-84, ISSN 0140-3664
DOI: 10.1016/j.comcom.2019.07.016

Distributed Path Reconfiguration and Data Forwarding in Industrial IoT Networks

Author(s): Theofanis P. Raptis, Andrea Passarella, Marco Conti
Published in: Wired/Wireless Internet Communications - 16th IFIP WG 6.2 International Conference, WWIC 2018, Boston, MA, USA, June 18–20, 2018, Proceedings, Issue 10866, 2018, Page(s) 29-41
DOI: 10.1007/978-3-030-02931-9_3

The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era

Author(s): John Soldatos, Oscar Lazaro, Franco Cavadini
Published in: The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era, Issue 1, 2019, Page(s) 1-496
DOI: 10.13052/rp-9788770220408