47 Public Robotics Datasets

Search, preview, and download robotics data — manipulation, locomotion, tactile sensing, motion capture, and more. License-aware access: we respect every dataset's terms.

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Datasets for Robot Learning

12 datasets match current filters.

Dataset Guide robotics datasetDataset GuideLink Only
UnknownReal-World

Contact-rich manipulation datasets

manipulationmulti-taskimitation-learning

Datasets for contact-rich manipulation, insertion, force-sensitive control, tactile reasoning, and failure-heavy robot learning tasks.

MIT CSAIL robotics datasetMIT CSAILLink Only
ResearchReal-World

GelSight Tactile Datasets

manipulationmulti-taskimitation-learning

GelSight tactile sensor datasets from MIT CSAIL. High-resolution vision-based touch data for grasp planning, texture recognition, and slip detection. Research license.

Industry Guide robotics datasetIndustry GuideLink Only
UnknownReal-World

Lab automation datasets

manipulationbenchmarkmulti-task

Lab automation datasets for sample handling, vial transfer, repeatable resets, and benchmarkable robotics workflows in life sciences settings.

Collection robotics datasetCollectionLink Only
UnknownReal-World

Manipulation Datasets

manipulationmulti-taskimitation-learning

Curated robot manipulation datasets for policy learning: DROID, BridgeData v2, Open X-Embodiment, RoboMimic, and custom single-arm collections. Browse, compare, and download.

Dataset Guide robotics datasetDataset GuideLink Only
UnknownReal-World

Multimodal robot datasets

multi-taskmanipulationlanguage-conditioned

A guide to multimodal robot datasets with RGB, depth, force, tactile, proprioception, and language annotations for embodied AI.

Industry Guide robotics datasetIndustry GuideLink Only
UnknownReal-World

Warehouse robotics datasets

manipulationmulti-taskbenchmark

Warehouse robotics datasets for picking, tote transfer, exception handling, SKU variation, and logistics evaluation workflows.

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Models & Tools You Can Pair

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Research-Ready Curation

We highlight scale, format, and access details needed for quick evaluation.

Cross-Stack Compatibility

Datasets are mapped to practical model and tool ecosystems.

Deployment Context

Dataset choices are linked with real robot execution constraints.

Scale-up Path

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