Modeling Robotics Dataset Construction as an Artifact-Based Build Process
The work models robotics dataset creation as a build process using an artifact-based dependency graph, similar to Bazel. This approach ensures deterministic and reproducible dataset generation by tracking dependencies between data inputs and processing steps. It significantly reduces update latency and recomputation overhead in robotics data pipelines.