LIBERO
Harbor: pendingWe present a novel benchmark for studying the transfer of different types of knowledge in lifelong robot learning.
- Samples
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- Released
- 2023
- Scores
- 0
Robustness Analysis of Vision-Language-Action Models π Paper | ποΈ Repo | π Website | π€ Assets | π€ Model | π Training Dataset π₯ Overview This repository contains the official implementation and benchmark for our paper "In-depth Robustness Analysis for Vision-Language-Action Models".
$ npm i -g lettokenburn-cli$ ltb bench info libero-plus
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
π Paper | ποΈ Repo | π Website | π€ Assets | π€ Model | π Training Dataset
π₯ Overview
This repository contains the official implementation and benchmark for our paper "In-depth Robustness Analysis for Vision-Language-Action Models". We systematically expose the hidden vulnerabilities of contemporary VLA models through comprehensive robustness evaluation across seven perturbationβ¦