Fail2Progress generates failure-targeted simulation data via Stein variational inference and fine-tunes skill effect models, improving long-horizon manipulation success rates and generalizing to unseen object counts and viewpoints.
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Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Fail2Progress generates failure-targeted simulation data via Stein variational inference and fine-tunes skill effect models, improving long-horizon manipulation success rates and generalizing to unseen object counts and viewpoints.