Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+datasets:
+- wentao-yuan/m2t2-data
+---
+# M2T2
+M2T2 (Multi-Task Masked Transformer) is a unified transformer model for learning different primitive actions.
+
+## Primary Use Cases
+Given a raw point cloud observation of the scene, M2T2 reasons about contact points and predicts collision-free gripper poses for 6-DoF object-centric grasping and orientation-aware placement.
+
+## Date
+This model was trained in June 2023.
+
+## Resources for More Information
+
+- Paper: https://arxiv.org/abs/2311.00926
+- Code: https://github.com/NVlabs/M2T2
+- Website: https://m2-t2.github.io
+
+## Citation
+If you find our work helpful, please consider citing our paper.
+```
+@inproceedings{yuan2023m2t2,
+  title     = {M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place},
+  author    = {Yuan, Wentao and Murali, Adithyavairavan and Mousavian, Arsalan and Fox, Dieter},
+  booktitle = {7th Annual Conference on Robot Learning},
+  year      = {2023}
+}
+```