Physical AI Data Collection

Bring the real world into your AI training data

Collect first-person video of people performing everyday and specialist tasks. Annotexia helps robotics and embodied AI teams build thoughtfully planned egocentric datasets around real actions, objects, and environments.

Task-specific protocolsReal-world interactionsQuality-reviewed delivery

Collection preview

First-person task capture

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Robotic hand engaging with a real-world objectHuman actions · Real-world tasksPhysical AI data
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Task protocol

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Capture

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Review

Data from the actor’s point of view

Give embodied systems richer examples of how tasks unfold

Physical AI depends on more than recognizing objects. Systems also need examples of how people move through spaces, handle tools, and interact with objects over time.

Egocentric video makes those interactions visible from a first-person perspective. A well-designed collection plan helps teams capture relevant actions with consistent coverage and useful context.

We work with you to define the capture protocol, coordinate collection, and prepare reviewed video data for research and model development.

Collection capabilities

Purpose-built first-person datasets

A flexible collection program shaped around your research question, operating environment, and data requirements.

First-person perspective

Capture natural, wearer-perspective footage that shows what a person sees while completing a task.

Human-object interaction

Record hands, tools, objects, and action sequences as they come together in real environments.

Task-focused capture

Structure collection around your scenarios, task steps, environments, and coverage requirements.

Dataset-ready delivery

Organize and review video assets with consistent metadata and project-specific delivery conventions.

Where it helps

Real-world data for embodied intelligence

Support the development of systems that need to perceive, reason, and act in physical spaces.

Collection protocols can incorporate project-defined consent, access, and sensitive-content handling requirements.

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Robot learning from human demonstrations

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Manipulation and household task research

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Wearable and assistive robotics

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Human activity and interaction understanding

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Embodied agents operating in real environments

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Long-horizon task planning and evaluation

A clear process

From collection plan to reviewed dataset

A coordinated workflow helps keep field capture aligned with your project goals.

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Define the study

Align on target tasks, participant criteria, environments, capture devices, and success criteria.

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Prepare protocols

Create practical recording instructions, consent materials, file conventions, and capture checklists.

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Collect real-world video

Coordinate structured first-person recording sessions across the agreed tasks and settings.

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Review and deliver

Check completeness, technical quality, metadata, and agreed privacy requirements before handoff.

Collection scope, participant volume, locations, equipment, and final deliverables are defined together during project planning.

Frequently asked questions

Planning egocentric data collection

What is egocentric video collection?+

Egocentric video is recorded from a first-person perspective, often using a head-mounted or wearable camera. It gives AI teams visual examples of tasks and interactions from the actor's point of view.

How is this useful for physical AI?+

First-person recordings can help teams study how people perceive and act in physical environments. They can support datasets for robotics, embodied AI, task understanding, and human-object interaction research.

Can collection follow our own task protocol?+

Yes. Collection plans can be tailored to your task list, environments, participant profile, capture equipment, metadata schema, and delivery requirements.

How do you address privacy during collection?+

Privacy requirements are agreed during project design. Protocols can include participant consent, environment guidance, restricted access, and review or handling rules for sensitive content, subject to the project scope.

Start with a collection plan

Build a dataset grounded in real human experience

Tell us about your tasks, environments, and research goals. We’ll help shape a practical collection workflow.

Discuss Your Project