{"ID":2837054,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.20492","arxiv_id":"2511.20492","title":"Kleinkram: Open Robotic Data Management","abstract":"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).","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2511.20492","url_pdf":"https://arxiv.org/pdf/2511.20492v1","authors":"[\"Cyrill Püntener\",\"Johann Schwabe\",\"Dominique Garmier\",\"Jonas Frey\",\"Marco Hutter\"]","published":"2025-11-25T16:59:29Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.IR\"]","methods":"[]","has_code":false}