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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Data, Models, and Code for: Neural Implicit Swept Volume Models for Fast Collision Detection

Research datakeyboard_double_arrow_right Dataset 01 Jan 2024Embargo end date: 09 Feb 2024 English Publisher:ZenodoFunded by:EC | SMARTHANDLE
Authors: Joho, Dominik; Schwinn, Jonas; Safronov, Kirill;

doi: 10.5281/zenodo.10638606 , 10.5281/zenodo.10638607 , 10.5281/zenodo.12636475

Data, Models, and Code for: Neural Implicit Swept Volume Models for Fast Collision Detection

Abstract

This dataset includes the LINEAR dataset as referenced in the paper "Neural Implicit Swept Volume Models for Fast Collision Detection" (ICRA 2024). Additionally, we offer checkpoints for the three model sizes that were trained utilizing this data, namely 5x512, 11x512, and 11x1024. The package also contains ground truth meshes and code snippets for the model architecture definition.

Related Organizations
Keywords

robotics, neural network, signed distance function, bin picking, deep learning, collision detection, Robotics, swept volume

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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