Instructions to use zaleni/WSA-Base-LIBERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use zaleni/WSA-Base-LIBERO with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Add model card and robotics pipeline tag
Browse filesThis PR adds a model card for the WSA₁ (World-Spatial-Action) model. It links the repository to the [huggingface.co/papers/2607.03941](https://huggingface.co/papers/2607.03941) paper page, registers the `robotics` pipeline tag so the model can be discovered on the Hub, and points users to the official project page and GitHub repository for code and setup instructions.
README.md
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---
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pipeline_tag: robotics
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---
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# WSA₁: A 3D-Centric World-Spatial-Action Model for Generalizable Robot Control
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WSA₁ is an embodied foundation model that introduces **World-Spatial-Action** modeling to unify instruction-aligned 2D visual planning, action-conditioned 3D world modeling, and 3D-aware action generation.
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- **Paper:** [WSA₁: a 3D-Centric World-Spatial-Action Model for Generalizable Robot Control](https://huggingface.co/papers/2607.03941)
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- **Project Page:** [https://zaleni.github.io/WSA1/](https://zaleni.github.io/WSA1/)
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- **Repository:** [https://github.com/zaleni/WSA](https://github.com/zaleni/WSA)
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## Overview
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WSA₁ learns a shared 2D-3D latent space that connects instruction-aligned visual planning, action-conditioned 3D world prediction, and 3D-aware action generation. It delivers high manipulation performance across simulation environments (such as RoboTwin 2.0 and LIBERO) and real-world robot control tasks.
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For environment setup, pretraining, fine-tuning, and evaluation workflows, please refer to the official [GitHub repository](https://github.com/zaleni/WSA).
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