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How can LLMs transform the robotic design process?

Stella, Francesco and Della Santina, Cosimo and Hughes, Josie (2023) How can LLMs transform the robotic design process? Nature Machine Intelligence, 5 (6), pp. 561-564. Springer Nature. doi: 10.1038/s42256-023-00669-7. ISSN 2522-5839.

Full text not available from this repository.

Official URL: https://www.nature.com/articles/s42256-023-00669-7

Abstract

We show that large language models (LLMs), such as ChatGPT, can guide the robot design process, on both the conceptual and technical level, and we propose new human-AI co-design strategies and their societal implications.

Item URL in elib:https://elib.dlr.de/197514/
Document Type:Article
Title:How can LLMs transform the robotic design process?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stella, FrancescoCREATE Lab, EPFLUNSPECIFIEDUNSPECIFIED
Della Santina, CosimoUNSPECIFIEDhttps://orcid.org/0000-0003-1067-1134UNSPECIFIED
Hughes, JosieCREATE Lab, EPFLUNSPECIFIEDUNSPECIFIED
Date:7 June 2023
Journal or Publication Title:Nature Machine Intelligence
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI:10.1038/s42256-023-00669-7
Page Range:pp. 561-564
Publisher:Springer Nature
ISSN:2522-5839
Status:Published
Keywords:LLM
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Robot Dynamics & Simulation [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Analysis and Control of Advanced Robotic Systems
Deposited By: Strobl, Dr. Klaus H.
Deposited On:24 Sep 2023 06:23
Last Modified:25 Sep 2023 09:03

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