The ASIMOV Cookbook

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.

News

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

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)

Publications

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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