Fine-tuning π0.5 on a real manufacturing task: <1 hour of DAgger data drove big success-rate gains
DominiqueCAPaul · x · 2026-09-25
Robotics researcher DominiqueCAPaul published a blog with empirical results fine-tuning π0.5 on a real manufacturing task. Key findings: less than 1 hour of DAgger-style human intervention data significantly boosted task success rate, and scene diversity plus data quality mattered more than volume. The post is making rounds in the robot learning community.
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