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Update app.py

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  1. app.py +8 -6
app.py CHANGED
@@ -145,15 +145,17 @@ with gr.Blocks() as demo:
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  gr.Markdown("# 🛸 D2OC: Decentralized Density-Driven Optimal Control for Multi-Robot Systems")
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  gr.Markdown("""
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  ### Official Interactive Demo: Decentralized Density-Driven Optimal Control
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- This tool visualizes the **D2OC framework**, enabling decentralized multi-agent coordination for **nonuniform area coverage** using **Optimal Transport** and Wasserstein distance.
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- [![GitHub Repository](https://img.shields.io/badge/GitHub-Repository-blue?style=flat&logo=github)](https://github.com/kooktaelee/D2OC)
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- *(Please leave a Star if you find this work useful!)*
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-
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  ---
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- **Official Publication:** <a href="https://doi.org/10.1109/TSMC.2025.3622075" target="_blank">IEEE Transactions on Systems, Man, and Cybernetics: Systems (DOI: 10.1109/TSMC.2025.3622075)</a>
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- **Preprint:** <a href="https://arxiv.org/abs/2511.12756" target="_blank">arXiv:2511.12756</a>
 
 
 
 
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  """)
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  with gr.Row():
 
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  gr.Markdown("# 🛸 D2OC: Decentralized Density-Driven Optimal Control for Multi-Robot Systems")
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  gr.Markdown("""
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  ### Official Interactive Demo: Decentralized Density-Driven Optimal Control
 
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+ [![GitHub](https://img.shields.io/badge/GitHub-Source_Code-blue?logo=github)](https://github.com/kooktaelee/D2OC)
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+ &nbsp;&nbsp; **⭐ Please support our research with a Star on GitHub!**
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+
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  ---
 
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+ **D2OC framework** enables decentralized multi-agent coordination for **nonuniform area coverage** using **Optimal Transport** and Wasserstein distance.
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+
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+ **Official Publication:** [IEEE Transactions on Systems, Man, and Cybernetics: Systems (DOI: 10.1109/TSMC.2025.3622075)](https://doi.org/10.1109/TSMC.2025.3622075)
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+
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+ **Preprint:** [arXiv:2511.12756](https://arxiv.org/abs/2511.12756)
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  """)
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  with gr.Row():