We collect and structure manipulation datasets for robotic systems — covering human demonstrations, robot arms, real-world environments, and synthetic scenarios.
An effective dataset for robot learning captures:
Send us your robot arms, humanoid systems, or custom devices, we'll scope and collect the training data you need.
Lerobot SO-101 Manipulations Dataset is a compact, high-quality set of 20 teleoperated robotic arm recordings (~30 FPS) captured on the […]
This droid dataset comprises 1,000 hours of multimodal recordings of cleaning, laundry folding, and dishwashing activities, combining head-mounted video with […]
| Characteristic | Data |
| Description | Robotic manipulation demos (e.g., pick-and-place) for imitation learning |
| Data types | Video |
| Tasks | Pick-and-place, basic manipulation |
| Number of episodes | 20 |
| Episode length | Variable (~30-60s per episode) |
| Labeling | Teleoperated human demonstrations; meta.json with stats |
| Robot | SO-101 (5-DOF arm + gripper) |
| Characteristic | Data |
| Description | 1,000 hours of multimodal recordings of cleaning, laundry folding, and dishwashing activities |
| Data types | Video (head-mounted), 9-axis IMU streams |
| Tasks | Human Activity Recognition, Motion Analysis, Multimodal Learning, Action Segmentation |
| Hours of recordings | 1,000 |
| IMU placements | Chest, Upper arms, Forearms, Wrists |
| Sensor outputs | 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, Orientation quaternions |
| Labeling | Metadata (counter, duration, task, date, video size, sensor size, recording version) |
Don’t see the dataset you need?
We collect training data from your equipment — structured, annotated, and ready for model training.
We work with:
We validate, clean, and expand your robotics datasets as your models and robotic systems change.
Public robotics datasets are often task-specific, limiting model training variety
Lab-collected datasets may not cover conditions your robot encounters in deployment
When no suitable dataset exists, building one takes significant time and resources
Combining datasets from multiple sources creates inconsistent training pipelines
We provide diverse datasets across manipulation tasks, human
We source data collected in operational environments, warehouses, and human-shared spaces
We handle custom data collection, from human demonstrations to robot arms
Our datasets follow consistent structure, ready for model training and robotic learning
Surgical robots, rehabilitation systems, and assistive devices.
Warehouse robots, picking systems, and delivery automation.
Field robots and autonomous farming equipment.
Autonomous vehicles and roadside robotic systems.
City logistics robots and traffic monitoring systems.
Robots for property scanning, mapping, and digitization.
Industrial robots operating in complex and confined environments.
Patrol robots and anomaly detection systems.
Courier robots operating indoors and outdoors.
Robot arms and automated production systems.
Robots for food preparation and kitchen delivery.
Robotics data is time-synchronized, structured information collected from robots, sensors, and human-operated systems. It is used to train models, test robotic learning methods, and improve model performance on manipulation tasks across real-world applications.
This data allows robotic systems to:
Datasets that combine sensor data, RGB inputs, and human demonstrations give models trained on robotic manipulation more signal per episode, reducing the volume of data collected needed for stable robotic learning.
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Data is collected on the Prolific platform, which offers a diverse pool of participants and allows customizations by gender, age, location, or professional background, while ensuring participant consent.
Combining platform filters with team expertise ensures reliability during both collection and validation, and guarantees the data aligns precisely with client requirements.
Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.
Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.
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