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Conference object . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Combining AI-powered detection and Immersive Technologies for Robotic Space Mission Planning

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 10 Mar 2025 English Publisher:Zenodo
Authors: Parisot, Olivier;

doi: 10.5281/zenodo.15002649 , 10.5281/zenodo.15002648

Combining AI-powered detection and Immersive Technologies for Robotic Space Mission Planning

Abstract

This paper was accepted to the Space Resources Week 2025 conference. Space Resources Week is hosted annually in Luxembourg, organized by the European Space Resources Innovation Centre (ESRIC), in collaboration with the European Space Agency (ESA), the Luxembourg Space Agency (LSA) and the Luxembourg Institute for Science and Technology (LIST). More information: https://www.spaceresourcesweek.lu/ .

Related Organizations
Keywords

Deep Learning, Space

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green