arXiv: cs.AI preprintsInternational5 November 2026
Behavior Graphs: Unsupervised Graph Structures for Interpreting Robot Deployment Data
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arXiv:2611.00405v1 Announce Type: cross Abstract: Data flywheels promise continuous improvement via insights from deployment data. Understanding how the deployed model succeeds and fails can steer subsequent data collection towards patching failures and reinforcing successes. However, robot deployments create large volumes of high-dimensional rollout data, which is challenging to understand and confidently ground data collection decisions in. To make deployment data easier to analyze and act on, we propose behavior graphs, which compress policy rollouts into a single interpretable, directed gr
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