Add pipeline tag, library name, and improve model card
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: gpl-3.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: gpl-3.0
|
| 3 |
+
pipeline_tag: robotics
|
| 4 |
+
library_name: pytorch
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
# ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
|
| 8 |
+
|
| 9 |
+
[](https://arxiv.org/abs/2503.21860)
|
| 10 |
+
[](https://maniptrans.github.io/)
|
| 11 |
+
[![Dataset (uploading)]](https://img.shields.io/badge/Dataset%20(uploading)-orange?style=for-the-badge&labelColor=FFD21E&color=FFD21E)
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
This model is described in the paper [ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning](https://huggingface.co/papers/2503.21860). It's a two-stage method for efficiently transferring human bimanual skills to dexterous robotic hands in simulation. The model first pre-trains a generalist trajectory imitator and then fine-tunes a specific residual module.
|
| 15 |
+
|
| 16 |
+
For code and usage instructions please see the project's Github repository: [ManipTrans](https://github.com/ManipTrans/ManipTrans).
|