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SIMPLER

Simple real-to-sim evaluation environments for open VLA policies (WidowX / Google robot style).

Why: Practical open eval harness for released VLAs

Overview

SIMPLER is a curated project on Embodied AI Hub.

Simple real-to-sim evaluation environments for open VLA policies (WidowX / Google robot style).

Why it matters: Practical open eval harness for released VLAs

Always verify install pins, licenses, and hardware requirements on the official site before production use.

Who it is for

Builders mapping open embodied stacks; researchers comparing SOTA baselines.

Key highlights

  • Simple real-to-sim evaluation environments for open VLA policies (WidowX / Google robot style).
  • Type: project; tags: 基准, VLA, 评测, 开源
  • Hub recommended

When to use

  • You need this category of open resource in your stack map
  • You are shortlisting baselines before deep evaluation

When not to use

  • License or hardware constraints block adoption
  • You only need a closed commercial stack with vendor SLA

Getting started

  1. 1Open the official URL and read the README / model card.
  2. 2Check license and citation requirements.
  3. 3Run the smallest official example before scaling.
  4. 4Cross-link related hub resources for a full pipeline.

Papers & reading

Caveats & pitfalls

  • Hub cards are curated summaries — verify upstream docs.
  • Stars and release names drift; treat metadata as approximate.

Content reviewed 2026-07-28