From 47a81c41502288b9313318145612ab660ec09943 Mon Sep 17 00:00:00 2001 From: Jade Choghari Date: Fri, 5 Sep 2025 12:23:12 +0300 Subject: [PATCH] Update docs/source/libero.mdx Co-authored-by: Dana Aubakirova <118912928+danaaubakirova@users.noreply.github.com> Signed-off-by: Jade Choghari --- docs/source/libero.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/libero.mdx b/docs/source/libero.mdx index 1cf08cd64..338b41a6d 100644 --- a/docs/source/libero.mdx +++ b/docs/source/libero.mdx @@ -18,7 +18,7 @@ Together, these suites cover **130 tasks**, ranging from simple object manipulat ## Evaluating with LIBERO -At **LeRobot**, we ported [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) into our framework and used it mainly to **evaluate [SmolVLA](https://huggingface.co/docs/lerobot/en/smolvla)**, our lightweight Vision-Language-Action model. +At **LeRobot**, we ported [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) into our framework and used it primarily to **benchmark [SmolVLA](https://huggingface.co/docs/lerobot/en/smolvla)**, our lightweight Vision-Language-Action model, comparing it against state-of-the-art VLA models such as Pi0, OpenVLA, Octo, and Diffusion Policy. LIBERO is now part of our **multi-eval supported simulation**, meaning you can benchmark your policies either on a **single suite of tasks** or across **multiple suites at once** with just a flag.