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Add link to training data.
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ScheiklP committed Jul 2, 2024
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Expand Up @@ -22,7 +22,8 @@ for high-quality robotic motion generation that focuses on gentle manipulation o
<p style="text-align:center; font-size: 24px; margin-top: 20px; margin-bottom: 20px;">
<a href="https://doi.org/10.1109/LRA.2024.3382529"><i class="fas fa-file-pdf"></i> Paper (IEEE Xplore)</a> |
<a href="https://arxiv.org/abs/2312.10008"><i class="fas fa-file-pdf"></i> Paper (arXiv)</a> |
<a href="https://github.com/ScheiklP/movement-primitive-diffusion"><i class="fas fa-code"></i> Code</a>
<a href="https://github.com/ScheiklP/movement-primitive-diffusion"><i class="fas fa-code"></i> Code</a> |
<a href="https://zenodo.org/doi/10.5281/zenodo.12625708"><i class="fas fa-database"></i> Training Data</a>
</p>

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