EFFRA Innovation Portal

Enhancing the performance of adaptive iterative learning control with reinforcement learning

Project: ReconCell

Updated at: 29-04-2024

Reconfigurable fixture evaluation for use in automotive light assembly

Project: ReconCell

Updated at: 29-04-2024

Rapid hardware and software reconfiguration in a robotic workcell

Project: ReconCell

Updated at: 29-04-2024

Sub-system for 3D simulation, visualization and interfacing with the user

Project: ReconCell

Updated at: 29-04-2024

Intermediate demonstrations of use-cases

Project: ReconCell

Updated at: 29-04-2024

Technical report on the design of innovative workcell elements

Project: ReconCell

Updated at: 29-04-2024

Technical report on software and hardware components in the workcell

Project: ReconCell

Updated at: 29-04-2024

Report on legal documents for partners, customers and developers

Project: ReconCell

Updated at: 29-04-2024

Developer, Distribution & Manufacturing Network as well as new I4MS knowledge hubs establishments and operations

Project: ReconCell

Updated at: 29-04-2024

Manual for setting up software tools for business intelligence

Project: ReconCell

Updated at: 29-04-2024

Manual for programming of assembly skills and tasks

Project: ReconCell

Updated at: 29-04-2024

Software environment for visual programming of assembly skills

Project: ReconCell

Updated at: 29-04-2024

Demonstration of optimal workcell reconfiguration in real world

Project: ReconCell

Updated at: 29-04-2024

Demonstration of optimal workcell reconfiguration in simulation

Project: ReconCell

Updated at: 29-04-2024

Workcell simulation for reconfiguration

Project: ReconCell

Updated at: 29-04-2024

Manual for workcell simulation

Project: ReconCell

Updated at: 29-04-2024

Workcell installation manual

Project: ReconCell

Updated at: 29-04-2024

Periodic Reporting for period 1 - i4Q (Industrial Data Services for Quality Control in Smart Manufacturing)

Project: i4Q

Updated at: 29-04-2024

D1.6 Lessons learnt, summary and synergies of cluster reports

Project: FOCUS

Updated at: 29-04-2024

D2.2 Methodology for industrial exploitation & take-up

Project: FOCUS

Updated at: 29-04-2024

D2.1 Methodology for clustering

Project: FOCUS

Updated at: 29-04-2024

D4.3 Advisory Board and Expert report Summary

Project: FOCUS

Updated at: 29-04-2024

D1.5 Roadmap Maintenance and Support cluster (activities, awareness, FoF priorities and take ups)

Project: FOCUS

Updated at: 29-04-2024

D3.3. FOCUS approach for best use of projects’ outcomes by dissemination and exploitation

Project: FOCUS

Updated at: 29-04-2024

D1.4 Roadmap Hi-Micro cluster (activities, awareness, FoF priorities and take ups)

Project: FOCUS

Updated at: 29-04-2024

D1.2 Roadmap Robotics cluster (activities, awareness, FoF priorities and take ups)

Project: FOCUS

Updated at: 29-04-2024

D1.3 Roadmap Clean Factory cluster (activities, awareness, FoF priorities and take ups)

Project: FOCUS

Updated at: 29-04-2024

D1.1 Roadmap ZDM cluster (activities, awareness, FoF priorities and take ups)

Project: FOCUS

Updated at: 29-04-2024

D1.8 Focus Roadmap, Summary Establishing continuation of clusters

Project: FOCUS

Updated at: 29-04-2024

D1.7 IPR Management and standardization, achievements and results from clusters

Project: FOCUS

Updated at: 29-04-2024

Resources

Selected filters:

Enhancing the performance of adaptive iterative learning control with reinforcement learning

Reconfigurable fixture evaluation for use in automotive light assembly

Rapid hardware and software reconfiguration in a robotic workcell

Sub-system for 3D simulation, visualization and interfacing with the user

Intermediate demonstrations of use-cases

Technical report on the design of innovative workcell elements

Technical report on software and hardware components in the workcell

Report on legal documents for partners, customers and developers

Developer, Distribution & Manufacturing Network as well as new I4MS knowledge hubs establishments and operations

Manual for setting up software tools for business intelligence

Manual for programming of assembly skills and tasks

Software environment for visual programming of assembly skills

Demonstration of optimal workcell reconfiguration in real world

Demonstration of optimal workcell reconfiguration in simulation

Workcell simulation for reconfiguration

Manual for workcell simulation

Workcell installation manual

Periodic Reporting for period 1 - i4Q (Industrial Data Services for Quality Control in Smart Manufacturing)

D1.6 Lessons learnt, summary and synergies of cluster reports

D2.2 Methodology for industrial exploitation & take-up

D2.1 Methodology for clustering

D4.3 Advisory Board and Expert report Summary

D1.5 Roadmap Maintenance and Support cluster (activities, awareness, FoF priorities and take ups)

D3.3. FOCUS approach for best use of projects’ outcomes by dissemination and exploitation

D1.4 Roadmap Hi-Micro cluster (activities, awareness, FoF priorities and take ups)

D1.2 Roadmap Robotics cluster (activities, awareness, FoF priorities and take ups)

D1.3 Roadmap Clean Factory cluster (activities, awareness, FoF priorities and take ups)

D1.1 Roadmap ZDM cluster (activities, awareness, FoF priorities and take ups)

D1.8 Focus Roadmap, Summary Establishing continuation of clusters

D1.7 IPR Management and standardization, achievements and results from clusters