日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:2511.20492

Kleinkram: Open Robotic Data Management

Kleinkram: Open Robotic Data Management

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著者: Cyrill Püntener, Johann Schwabe, Dominique Garmier, Jonas Frey, Marco Hutter

分類: cs.RO, cs.IR

原文アブストラクト

We introduce Kleinkram, a free and open-source system designed to solve the challenge of managing massive, unstructured robotic datasets. Designed as a modular, on-premises cloud solution, Kleinkram enables scalable storage, indexing, and sharing of datasets, ranging from individual experiments to large-scale research collections. Kleinkram natively integrates with standard formats such as ROS bags and MCAP and utilises S3-compatible storage for flexibility. Beyond storage, Kleinkram features an integrated "Action Runner" that executes customizable Docker-based workflows for data validation, curation, and benchmarking. Kleinkram has successfully managed over 30 TB of data from diverse robotic systems, streamlining the research lifecycle through a modern web interface and a robust Command Line Interface (CLI).