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annoroid
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01

Policy Evaluation and Failure Analysis

“We generate more robot rollouts than we can review.”
What we do
Robotics reviewers judge real and sim rollouts: success or fail, the moment it failed, why, and a quality score. The result feeds your evals, reward models and RL post-training.
What you receive
Scored rollouts in your schema, plus a failure-cause report that tells you what to fix next.

Interactive sample · switch raw / evaluated on a real rollout, or see a failure diagnosed

Subtask 1/7 · Pick up the capsule0 of 7 checkpoints passed
Evaluated
00:00.0
OutcomeIn progress
Quality score

Footage: ALOHA static coffee, LeRobot / ALOHA project (MIT). Evaluation: Annoroid.

All samples are built on public data: robot episodes from the open ALOHA dataset (LeRobot, MIT licence) and public-domain kitchen footage from the USDA, processed by us. Samples marked “Illustrative” use example data. Sources

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