Search, preview, and download robotics data — manipulation, locomotion, tactile sensing, motion capture, and more. License-aware access: we respect every dataset's terms.
Datasets with in-the-wild robot interactions and long-horizon tasks.
→CollectionSuites designed for reproducible evaluation and cross-paper comparison.
→CollectionShared formats and multi-embodiment data for foundation model training.
→Built for users who search by workflow, industry, or decision intent rather than by a single named dataset.
Operator demos, retries, and bootstrapping workflows.
→Dataset GuideTactile, force, and failure-heavy manipulation signals.
→Industry GuideSKU variation, exception handling, and throughput context.
→Industry GuideRepeatable protocols and benchmarkable workflows.
→Pilot GuideDeployment-oriented data choices for humanoid teams.
→OpenArm GuideCollection and packaging workflows around OpenArm.
→2 datasets match current filters.
Dataset GuideLink OnlyHow to evaluate datasets for robotics foundation model training, including multi-robot coverage, language conditioning, and action standardization.
Google DeepMindDownloadExplore Open X-Embodiment: 1M+ trajectories across 22 robot embodiments and 527 skills. Download RT-X data, fine-tune VLAs, and benchmark cross-embodiment transfer in hours.
We highlight scale, format, and access details needed for quick evaluation.
Datasets are mapped to practical model and tool ecosystems.
Dataset choices are linked with real robot execution constraints.
When open data is not enough, we support custom collection pipelines.
We collect high-quality, learning-ready data for your specific tasks and hardware.
