Add robotics pipeline tag and improve model card

README.md

@@ -1,14 +1,30 @@
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 license: cc-by-4.0
+pipeline_tag: robotics
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-SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation
 
-TL;DR: SoMA is a Gaussian splat neural simulator that models deformable object dynamics from real-world robot manipulation, enabling action-conditioned, stable long-horizon simulation with high-fidelity, multi-view–consistent rendering.
+# SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation
 
-cite arxiv.org/abs/2602.02402 
+SoMA is a 3D Gaussian Splat simulator for soft-body manipulation. It couples deformable dynamics, environmental forces, and robot joint actions in a unified latent neural space for end-to-end real-to-sim simulation. 
 
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-arxiv: https://arxiv.org/pdf/2602.02402
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-project page: https://city-super.github.io/SoMA/
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+Modeling interactions over learned Gaussian splats enables controllable, stable long-horizon manipulation and generalization beyond observed trajectories without predefined physical models.
+
+- **Paper:** [https://arxiv.org/abs/2602.02402](https://arxiv.org/abs/2602.02402)
+- **Project Page:** [https://city-super.github.io/SoMA/](https://city-super.github.io/SoMA/)
+
+## Description
+
+SoMA is a Gaussian splat neural simulator that models deformable object dynamics from real-world robot manipulation, enabling action-conditioned, stable long-horizon simulation with high-fidelity, multi-view–consistent rendering. By coupling deformable dynamics, environmental forces, and robot joint actions in a unified latent neural space, SoMA improves resimulation accuracy and generalization on real-world robot manipulation by 20%, enabling stable simulation of complex tasks such as long-horizon cloth folding.
+
+## Citation
+
+If you find this work useful, please cite:
+
+```bibtex
+@article{huang2026soma,
+  title={SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation},
+  author={Huang, Mu and Wang, Hui and Kerui Ren and Linning Xu and Yunsong Zhou and Mulin Yu and Bo Dai and Jiangmiao Pang},
+  journal={arXiv preprint arXiv:2602.02402},
+  year={2026}
+}
+```