CoBe XR: Simulation Module (Bio-inspired Swarm Model)
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901884942417920 |
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| author | Bartashevich, Palina |
| author_facet | Bartashevich, Palina |
| contents | <p>This repository contains the Docker container of the <strong>CoBe XR </strong><strong>Simulation Module </strong>— a custom-built spatial augmented reality installation developed within the <a href="https://www.scienceofintelligence.de/"><em>Science of Intelligence Excellence Research Cluster</em></a> in Berlin, designed for testing and showcasing collective behavior algorithms.</p> <p>The container runs the computational model of predator-prey interactions published in Bartashevich et al., <em>"Collective anti-predator escape manoeuvres through optimal attack and avoidance strategies"</em> (<a href="https://www.nature.com/articles/s42003-024-07267-2" target="_new" rel="noopener">Nature Communications Biology, 2024</a>).</p> <p>The Docker image (<code>docker.tar</code>) is used in the official <a href="https://github.com/mezdahun/CoBe" target="_new" rel="noopener">CoBe XR GitHub repository</a>, with its path specified in <code>cobe/settings/pmodulesettings.py</code>. Please refer to the <code>README.md</code> for detailed instructions on how to build and run the container, along with a description of the file structure and usage examples.</p> <p>This repository serves as a Supplementary Material to the preprint by Mezey & Bartashevich et al., <em>"Real-Time Human Interaction with Virtual Swarms in Shared Physical Space."</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15656035 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CoBe XR: Simulation Module (Bio-inspired Swarm Model) Bartashevich, Palina <p>This repository contains the Docker container of the <strong>CoBe XR </strong><strong>Simulation Module </strong>— a custom-built spatial augmented reality installation developed within the <a href="https://www.scienceofintelligence.de/"><em>Science of Intelligence Excellence Research Cluster</em></a> in Berlin, designed for testing and showcasing collective behavior algorithms.</p> <p>The container runs the computational model of predator-prey interactions published in Bartashevich et al., <em>"Collective anti-predator escape manoeuvres through optimal attack and avoidance strategies"</em> (<a href="https://www.nature.com/articles/s42003-024-07267-2" target="_new" rel="noopener">Nature Communications Biology, 2024</a>).</p> <p>The Docker image (<code>docker.tar</code>) is used in the official <a href="https://github.com/mezdahun/CoBe" target="_new" rel="noopener">CoBe XR GitHub repository</a>, with its path specified in <code>cobe/settings/pmodulesettings.py</code>. Please refer to the <code>README.md</code> for detailed instructions on how to build and run the container, along with a description of the file structure and usage examples.</p> <p>This repository serves as a Supplementary Material to the preprint by Mezey & Bartashevich et al., <em>"Real-Time Human Interaction with Virtual Swarms in Shared Physical Space."</em></p> |
| title | CoBe XR: Simulation Module (Bio-inspired Swarm Model) |
| url | https://doi.org/10.5281/zenodo.15656035 |