During the ASIMOV project, we have learned a lot about the combination of Reinforcement Learning and Digital Twins. So we decided to capture our most important learnings and experiences in a small document. The ASIMOV Cookbook was born.
December 2023
M30 General Assembly in Munich
June 2023
M24 General Assembly in Eindhoven
December 2022
M18 General Assembly
September 2022
ASIMOV presentations on the ESI Symposium 2022 in Veldhoven
July 2022
ASIMOV is now on ResearchGate. Available under https://www.researchgate.net/project/ITEA-ASIMOV-Project-AI-training-using-Simulated-Instruments-for-Machine-Optimisation-and-Verification
July 2022
M12 General Assembly in Stuttgart
December 2021
Article about ASIMOV in OFFIS in-house public magazine article "Datawork No. 73", available under https://www.offis.de/en/offis/downloads-and-tools/datawork-offis-journals.html
December 2021
First General Assembly
June 2021
Project Kick-off
October 2020
Interview of Brainport Eindhoven with Remco Schoenmakers about AI, referring to ASIMOV: https://brainporteindhoven.com/nl/ontdek/de-kracht-van-brainport/cases/ai-is-vak-apart-dat-nog-volwassen-moet-worden (in Dutch)
March 2024
D2.5 - Digital Twin Validation - Methods and Techniques M32
D3.1 - Requirements for AI M32
January 2024
D1.2 - STEM proof of concept demonstation M30
D1.1 - Specification and Commonalities M30
D4.2 - Tools and Integration M30
August 2023
D5.3 - Dissemination Plan and Report M24
D5.2 - Exploitation Plan and Report M24
July 2023
D2.3 - Architecture of Digital Twins M24
March 2023
D1.2 - STEM proof of concept demonstration M18
December 2022
D1.3 - UUV proof of concept demonstration M18
D4.1 - Application to Systems M18
November 2022
D2.2 - Methods and Tools for Training AI with Digital Twin M16
August 2022
D5.2 - Exploitation Plan and Report M12
D5.3 - Dissemination Plan and Report M12
June 2022
D4.a - Reference Architecture - Working Group
March 2022
D3.2 - Architecture and technical approach for DT-based AI-training
February 2022
D5.3 Dissemination Plan and Report
D5.2 Exploitation Plan and Report
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