Observed arrival · 2026-11-10
Goaliphy: tracing robot failures to training data
Goaliphy presents a workflow for tracing failed robot rollouts to training episodes and checking proposed fixes through retraining.
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- For
- Robotics teams without in-house data and evaluation staff
- Worth noticing
- Its example tables are labeled illustrative, while the 73%-to-43% result is explicitly attributed to a Pebblous experiment.
Field notes
The workflow starts from a logged rollout and its producing checkpoint, then presents ranked episodes with signed influence values and written explanations. A separate table scores episodes across HRT, RMST, F(30 s), and hard failures, illustrating that an episode can help speed while hurting reliability. The page labels these tables illustrative; its 73%-to-43% closed-loop result is attributed to a Pebblous experiment, not to Goaliphy.
Observed signals
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Editorial observations of this landing page, not a rating.
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◎NicheUnusually specific use
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