Axis Robotics (@axisrobotics) “What Happens After Post-Training Data Collection? Since launching Axis V2, human” — TopicDigg

What Happens After Post-Training Data Collection? Since launching Axis V2, human-gated DAgger correction has been a core part of our data engine. In this thread, we share a series of experiments exploring how to best process and use post-training data. The core finding: not every human intervention helps. But if you verify which specific actions actually change the outcome — and train only on those — the improvements are real and they scale. Results: - 660 corrections collected → 161 (24.4%) entered training - Each training snippet is ~0.8 seconds - Naively imitating full human trajectories dropped success from 40.0% to 36.7%, while 161 verified snippets lifted the three-seed average to 48.3% on the same evaluation set — and reached 48.8–52.5% across three seeds in a separate paired evaluation. Read the full blog: Details below ⬇️