RoboLineage: Agent-Native Data Lifecycle Governance Across Robot Policy Iterations
RoboLineage: Agent-Native Data Lifecycle Governance Across Robot Policy Iterations
This paper introduces RoboLineage, an open-source system designed to govern the data lifecycle for robot policy iterations. It addresses the fragmentation of evidence in modern robotics workflows by representing rollouts, reviews, dataset decisions, training runs, and evaluations as typed lineage artifacts. The system allows agents to interpret embodied rollout evidence, adapt accepted data to existing training stacks, maintain data health, and summarize cross-iteration state within explicit artifact boundaries. In real-robot manipulation contexts, RoboLineage aims to make routine policy iteration faster and more auditable while maintaining downstream policy performance. The project is released as a lightweight lifecycle layer compatible with various robot embodiments and training families.
RoboLineage is an open-source system that structures data lineage across robot policy iterations, enabling auditable workflows for rollouts, reviews, training runs, and deployment recommendations without claiming specific performance metrics or deployment readiness.
Source: arXiv Robotics — research abstracts · Read original article ↗
Loading article text…
What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- code: not_reported
- weights: not_reported
- dataset: not_reported
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
akes routine policy iteration faster and more auditable while maintaining downstream policy performance. We open source RoboLineage as a lightweight lifecycle layer for different robot embodiments and training families. Project page: https://robolineage.github.io/
Open source S4
Source：arXiv Robotics — research abstracts · arxiv.org