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--- |
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license: apache-2.0 |
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datasets: |
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- wentao-yuan/m2t2-data |
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--- |
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# M2T2 |
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M2T2 (Multi-Task Masked Transformer) is a unified transformer model for learning different primitive actions. |
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## Primary Use Cases |
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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. |
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## Date |
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This model was trained in June 2023. |
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## Resources for More Information |
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- Paper: https://arxiv.org/abs/2311.00926 |
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- Code: https://github.com/NVlabs/M2T2 |
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- Website: https://m2-t2.github.io |
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## Citation |
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If you find our work helpful, please consider citing our paper. |
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``` |
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@inproceedings{yuan2023m2t2, |
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title = {M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place}, |
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author = {Yuan, Wentao and Murali, Adithyavairavan and Mousavian, Arsalan and Fox, Dieter}, |
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booktitle = {7th Annual Conference on Robot Learning}, |
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year = {2023} |
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} |
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``` |
