| library_name: lerobot | |
| license: apache-2.0 | |
| model_name: vls_calvin_dp_base | |
| pipeline_tag: robotics | |
| tags: | |
| - diffusion | |
| - lerobot | |
| - robotics | |
| # vls_calvin_dp_base | |
| A Diffusion Policy checkpoint trained on the CALVIN benchmark, released as the | |
| frozen base policy used in **VLS: Steering Pretrained Robot Policies via | |
| Vision-Language Models**. | |
| VLS is a training-free, inference-time framework that steers the sampling | |
| process of a frozen generative robot policy (such as this checkpoint) using | |
| trajectory-differentiable rewards synthesized by a vision-language model — no | |
| fine-tuning or weight updates required. | |
| - Paper: <https://arxiv.org/abs/2602.03973> | |
| - Project page: <https://vision-language-steering.github.io/webpage/> | |
| - Trained with [LeRobot](https://github.com/huggingface/lerobot). |