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Integrating robotics into experimental mechanics to enable AI-driven knowledge discovery

Breitbarth, Eric and Paysan, Florian and Dietrich, Eric and Melching, David and Strohmann, Tobias and Schöne, Vanessa and Dömling, Ferdinand (2024) Integrating robotics into experimental mechanics to enable AI-driven knowledge discovery. International Materials Science and Engineering Congress - MSE 2024, 2024-09-24, Darmstadt, Germany.

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Item URL in elib:https://elib.dlr.de/207034/
Document Type:Conference or Workshop Item (Speech)
Title:Integrating robotics into experimental mechanics to enable AI-driven knowledge discovery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Breitbarth, EricUNSPECIFIEDhttps://orcid.org/0000-0002-3479-9143169039061
Paysan, FlorianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dietrich, EricUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Melching, DavidUNSPECIFIEDhttps://orcid.org/0000-0001-5111-6511UNSPECIFIED
Strohmann, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schöne, VanessaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dömling, FerdinandUNSPECIFIEDhttps://orcid.org/0009-0000-9263-1421UNSPECIFIED
Date:2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Mechanical testing; robotics; machine learning; data science
Event Title:International Materials Science and Engineering Congress - MSE 2024
Event Location:Darmstadt, Germany
Event Type:international Conference
Event Date:24 September 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Structural Materials and Design
Location: Köln-Porz
Institutes and Institutions:Institute of Materials Research > Metallic and Hybrid Materials
Deposited By: Breitbarth, Eric
Deposited On:07 Oct 2024 09:22
Last Modified:07 Oct 2024 09:22

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