We deliver high-quality UMI data collection for robot learning, capturing synchronized video, device motion, control signals, and task context from real-world demonstrations. Our programs are designed for imitation learning, VLA models, and Physical AI.

What We Collect

We design and operate end-to-end UMI collection programs that turn real-world manipulation tasks into structured, training-ready datasets tailored to your devices, environments, and model requirements.

Synchronized Multi-Camera Video

Device Motion and Pose Data

Gripper and Control Signals

Object and Scene Context

Task Segmentation and Event Labels

Success, Failure and Quality Metadata

umi data collection

95%

Usable Data Yield

Through standardized collection protocols and multi-stage quality control.

Reliable UMI Data for Robot Learning

100%

Synchronized Trajectories

Video, device motion, action signals, and task context aligned within every trajectory.
Synchronization Completeness

Why Choose Our UMI Data Collection Service?

Our teams understand robotics data requirements, including synchronization, task repeatability, sensor calibration, and trajectory quality. We deliver datasets ready for model development and evaluation.

Every program is tailored to your UMI device, task taxonomy, environment, operator instructions, sensors, and target model. We define protocols and acceptance criteria before collection begins.

Automated checks and human review identify incomplete trajectories, timing drift, occlusion, and inconsistent task execution before delivery.

From pilot programs to large-scale deployment, we coordinate sites, operators, devices, schedules, and secure delivery while maintaining consistent standards.

Frequently Asked Questions

What is UMI data collection?
UMI data collection captures human manipulation demonstrations with synchronized video, device motion, control signals, timestamps, and task context for robot learning and embodied AI.
What is included in a UMI dataset?
A typical dataset includes synchronized camera streams, device pose, gripper state, control signals, timestamps, task metadata, and quality annotations.
Can you support custom devices and environments?
Yes. We design collection protocols around your UMI device, cameras, task setup, environment, and required data format.
How do you ensure synchronization accuracy?
We validate timestamps, frame continuity, device and video alignment, and trajectory completeness using automated checks and manual quality review.
Can you run a pilot before scaling?
Yes. We recommend a pilot to validate task definitions, operator instructions, hardware setup, data schema, and acceptance criteria before full production.
Do you provide annotation and task segmentation?
Yes. We can add task boundaries, action phases, success or failure labels, object attributes, and custom event annotations.
How do you protect confidential data?
We use controlled access, secure storage and transfer, project-specific permissions, and documented handling procedures based on your requirements.
What delivery formats do you support?
We can deliver raw and processed data in your required structure, including video, JSON metadata, CSV tables, HDF5, LeRobot, RLDS, and custom schemas.