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How to choose benchmarks to test a robot-use agent with Awesome Robot Use Agent

Pick simulation benchmarks from the list that match your robot and task before you run tests.

  • Research
  • Intermediate
  • 60 minutes
  • From the README
  • Any agent

Who it is forAn AI engineer evaluating a robot-use agent who needs a fair test set before comparing results.

The problemA robot-use agent can look strong on one benchmark and weak on another, and choosing the wrong suite gives misleading results.

The outcomeA short evaluation plan that names two or three benchmarks, the task types each covers, and the links to their sources.

What you need first

  • A web browser to open the README and the searchable website
  • For the benchmark and tutorial use cases: a Python environment and access to the linked project pages, which the README does not set up for you
  • For the tutorial use case: a Reachy Mini robot and the hardware named in the linked Hugging Face and NVIDIA post

Steps

  1. Open the Benchmarks section and list every benchmark with its task type, such as manipulation, navigation, or mobile manipulation.
  2. Match each benchmark to the tasks your agent must perform.
  3. Check the Methods & Frameworks notes to see which benchmarks similar methods were evaluated on.
  4. Write a plan with two or three benchmarks, each with a reason tied to your task.
  5. Follow the links to each benchmark site to confirm its setup requirements before you install anything.

Prompt for your agent

Read the Benchmarks section of https://github.com/kairunwen/Awesome-Robot-Use-Agent and recommend two or three benchmarks for testing a robot-use agent that must <task>. Output the benchmark names, the task type each covers, and the README link for each. Verify each benchmark name appears in the README before you recommend it.

Caveat. The README lists benchmarks but does not give setup commands, so each benchmark's own documentation is needed to run it.

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