Open-Source Robotics Learning Datasets
A curated catalog of open-source datasets for robot manipulation, imitation learning, and reinforcement learning — with links to official sources.
Real-World Manipulation Data
Datasets with in-the-wild robot interactions and long-horizon tasks.
CollectionBenchmark-Centric Datasets
Suites designed for reproducible evaluation and cross-paper comparison.
CollectionCross-Robot Ecosystems
Shared formats and multi-embodiment data for foundation model training.
High-Intent Dataset Guides
Teleoperation datasets
Operator demos, retries, and bootstrapping workflows.
Dataset GuideContact-rich datasets
Tactile, force, and failure-heavy manipulation signals.
Industry GuideWarehouse datasets
SKU variation, exception handling, and throughput context.
Industry GuideLab automation datasets
Repeatable protocols and benchmarkable workflows.
Pilot GuideHumanoid datasets
Deployment-oriented data choices for humanoid teams.
OpenArm GuideOpenArm datasets
Collection and packaging workflows around OpenArm.
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Datasets for Robot Learning
DROID
76K trajectories, 350 hours, 86 tasks. In-the-wild manipulation from 50 collectors across 564 scenes. TensorFlow Datasets, Hugging Face.
View dataset → Official source ↗
BridgeData v2
60K trajectories, 24 environments, 13 manipulation skills. Low-cost WidowX robot. Natural language labels, multi-task learning.
View dataset → Official source ↗
Open X-Embodiment
1M+ episodes, 22 robot types, 500+ skills. Unified RLDS format. RT-X models. 33 institutions.
View dataset → Official source ↗
ALOHA
Bimanual teleoperation. ALOHA-Cosmos-Policy, baseline datasets. HDF5, Hugging Face. Open hardware.
View dataset → Official source ↗
LIBERO
130 tasks, 65K demos. Lifelong learning benchmark. Spatial, object, goal suites. RoboSuite simulation.
View dataset → Official source ↗
RoboNet
15M frames, 7 robot platforms. Multi-robot transfer. Sawyer, Franka, Baxter, Fetch, WidowX.
View dataset → Official source ↗OpenArm
Open-hardware bimanual manipulation platform with reference teleoperation datasets. Reproducible build, low-cost teleop.
View dataset → Official source ↗MimicGen
50K+ demos synthesized from ~200 human demos. Task suites for robust imitation learning in simulation and real.
View dataset → Official source ↗RoboMimic
Framework + reference datasets for learning from human demonstrations. Simulation + real. MIT license.
View dataset → Official source ↗RT-X
Cross-embodiment RT-1-X / RT-2-X policy training data, derived from Open X-Embodiment. Foundation-model scale.
View dataset → Official source ↗
LeRobot
Standardized format + hub. DROID-100, ALOHA, SO-100. PyTorch, streaming. "ImageNet of robotics."
View dataset →Models & Tools You Can Pair
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
When open data is not enough, we support custom collection pipelines.