ASIMOV
AI training using Simulated Instruments for Machine Optimization and Verification
Project description
With the rise of High-tech cyber-physical systems (CPSs) in all areas of industry and society, the user-friendliness and up-times of these systems becomes increasingly important. Especially keeping the control parameters of CPSs in their correct operating window is a large challenge, for example in electron microscopy, unmanned utility vehicles and pulp & paper process control. ASIMOV will increase the autonomy and self-optimisation of CPSs by creating physically realistic Digital Twins of these systems and train innovative AI algorithms for CPS control using these Digital Twins.
https://www.asimov-project.eu/
Funding
Germany
AVL Deutschland GmbH
Germany
LiangDao GmbH
Germany
OFFIS
Germany
RA Consulting GmbH
Germany
TrianGraphics GmbH
Germany
The Netherlands
CQM
The Netherlands
Eindhoven University of Technology
The Netherlands
Thermo Fisher Scientific
The Netherlands
TNO
The Netherlands
Project publications
- ASIMOV Project results leaflet Project Leaflet 30 August 2024 Download
- ITEA PO Days 2024 - Project poster ASIMOV Project poster 10 September 2024
- ITEA PO Days 2023 - Project poster ASIMOV Project poster 14 September 2023
- AI traint zich wedstrijdklaar op digital twin Press article 01 June 2022
- NorCom Information Technology GmbH & Co. KGaA: NorCom is awarded the contract to participate in a consortium in the international "ASIMOV" project Press article 14 June 2021
- Our Contribution to the 16th GSVF - “Digital Twin-Generation and Variation in Reinforcement Learning” Press article 18 September 2023
Work package documents
- ASIMOV-D2.3_ArchitectureOfDigitalTwins_v1_0.pdf Work package document 17 July 2023
- ASIMOV-D2.3_ArchitectureOfDigitalTwins_v2.0_M36.pdf Work package document 17 May 2024
- ASIMOV_3.2+3.3_v2.0 M36 Architecture and technical approach for DT-supported AI-based training and system optimization.pdf Work package document 21 May 2024
- ASIMOV_D12 M18.pdf Work package document 20 March 2023
- ASIMOV_D13_M30.pdf Work package document 14 May 2024
- ASIMOV_D13_M36.pdf Work package document 14 May 2024
- ASIMOV_D1_3_M18_version_1 UUV proof of concept demonstration.pdf Work package document 06 December 2022
- ASIMOV_D2_5_M32_version_1-0 Digital Twin Validation - Methods and Techniques.pdf Work package document 29 February 2024
- ASIMOV_D4.3_Architecture_and_Transfer_v1.1 M36.pdf Work package document 17 May 2024
- ASIMOV_D4_1_M18_version_1 Application to Systems - Methods and Techniques.pdf Work package document 26 February 2023
- ASIMOV_Deliverable_3.2 - Architecture and technical approach for DT-based AI-training state of the art_v1.0.pdf Work package document 30 March 2022
- ASIMOV_Deliverable_4.2_v1.0 Tools and Integration.pdf Work package document 15 February 2024
- ASIMOV_IR12_M30_public.pdf Work package document 05 January 2024
- ASIMOV_Specifications_and_Commonality_Analysis_Deliverable_M30.pdf Work package document 05 January 2024
- D1_2 Proof of Concept Demonstration and Evaluation_Use Case Electron Microscopy M36.pdf Work package document 08 May 2024
- D3.1 – ASIMOV_Requirements_for _Technology_Update_V5.pdf Work package document 19 March 2024
- D4.a - ASIMOV Reference Architecture Working Group_v3.pdf Work package document 23 June 2022
- D5.2 - ASIMOV Exploitation Plan and Report (version 1.0 - dated 2022.02.21).pdf Work package document 21 February 2022
- D5.2 - ASIMOV Exploitation Plan and Report - M12 (version 1.1) .pdf Work package document 22 August 2022
- D5.2 - ASIMOV Exploitation Plan and Report - M24.pdf Work package document 01 September 2023
- D5.2 - ASIMOV Exploitation Plan and Report - M36.pdf Work package document 10 May 2024
- D5.3 - ASIMOV Dissemination Plan and Report (version 1.0 - dated 2022.02.21).pdf Work package document 21 February 2022
- D5.3 - ASIMOV Dissemination Plan and Report - M12 (version 1.1).pdf Work package document 22 August 2022
- D5.3 - ASIMOV Dissemination Plan and Report - M24.pdf Work package document 21 August 2023
- D5.3 - ASIMOV Dissemination Plan and Report - M36.pdf Work package document 10 May 2024
- T2.1-Parameter-Identification-Process-v2.0.pdf Work package document 08 May 2024
- T2.2 ASIMOV Methods and Tools for Training AI with Digital Twin – M16 (version 1.1).pdf Work package document 30 November 2022
- T2.2 ASIMOV Methods and Tools for Training AI with Digital Twin – M36 (version 2.3).pdf Work package document 16 May 2024