Robotics data
Human demonstrations from skilled workers in India for robotics and embodied AI teams. First-person recordings, useful task context and a specification built around your learning objective.
THE VIEW FROM THE WORK
A steady grip. A small adjustment. The check before the next step. Skilled work contains more than a sequence of movements. We capture people completing physical tasks so robotics and embodied AI teams can study the work in context.
Labeno's collection work starts with your task specification: what needs to be visible, which variations matter and how the recording will be reviewed. First-person video connects hands, tools, objects and the order of the work in one record.
DEFINE THE DATA BEFORE THE COLLECTION
Capture choices, labels and deliverables should match the way your team intends to use the data.
01 / THE VIEW FROM THE WORK
Wearable cameras can record from the worker's perspective. The useful frame follows the interaction: a hand reaching for a tool, a part being aligned, a fastener tightened and a result checked. External camera views can be scoped when the task needs more spatial context.
02 / THE TASK COMES FIRST
"Assembly footage" can mean many things. A stronger specification names the object, the starting state, the action sequence, the completion condition and the variations worth collecting. That gives field teams a clear brief and reviewers a shared acceptance standard.
03 / FROM RECORDING TO DATASET
A clip becomes easier to use when its task, timing and capture context travel with it. Depending on the agreed scope, delivery can include organized video, a recording manifest, task descriptions, time-based action labels and review notes. The pilot establishes the exact files and fields before a larger collection begins.
04 / CUSTOM REQUIREMENTS
Home routines, chef skills, trade work or a specialist process. We discuss feasibility, demonstrators, access, equipment and quality criteria before agreeing a collection.
Illustrative annotation and stock photograph. Timings and labels are fictional examples, not client data.
EXPLORE / A RECORD WITH STRUCTURE
Explore a simple example of a task label and time segment. Your team’s schema, vocabulary and review rules determine the actual annotation scope.
{
"example_only": true,
"task": "woodwork_preparation",
"action": "prepare_workpiece",
"time_seconds": [
0,
4
],
"description": "Position the workpiece and identify the tool."
}Download example JSON QUALITY / BEFORE VOLUME
We agree what makes a usable recording before increasing collection volume.
Hands, contact points, tools and relevant objects should be visible for the intended task.
The beginning, useful intermediate actions and agreed end condition need to be understandable.
Shared examples and acceptance criteria help the collection and review teams judge the same thing.
Tell us what you want recorded. We can discuss the skill, environment, camera setup, annotation and budget in a scoping meeting.
ROBOTICS DATA / FAQ
It is a recording from the perspective of the person carrying out the task, often using a head-mounted camera. The view can show hands, tools and objects through the sequence of the work.
Human video and robot control trajectories contain different information. Human demonstrations can support robot-learning research, but executable robot actions require additional methods and validation. The collection specification should state exactly which signals are included.
Yes. A focused pilot is the practical place to review framing, task coverage, file organization and any labels before agreeing a larger collection.
Task descriptions, time-based action segments, interaction labels and metadata can be scoped to the brief. We agree the vocabulary, granularity and acceptance criteria with sample records before collection expands.
The task library illustrates possible collection briefs. It is not an inventory of footage ready for purchase. Task feasibility, access, volume and delivery are confirmed for each project.
A task list, intended use, desired views or sensors, annotation requirements and a few reference examples provide a useful starting point. If the specification is still taking shape, begin with the behavior you need to understand.