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INDOOR OPERATIONS
Warehouse & logistics
Picking, palletizing, inventory handling, barcode scanning, and forklift operations.
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● DATA PRODUCT
Egocentric Data
First-person demonstration data for teams training manipulation, HRI, and embodied AI policies in real-world environments.
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OUR CAPABILITIES IN DATA
10,000+
Collection hours per month capacity
90%
quality pass rate on reviewed footage
20+
Task types captured
5+
Unique data modalities & environments
ONE SESSION, FIVE VIEWS
What a single capture actually contains
Every session is more than a video file. Here's what ships from one recorded task, synchronized to a single clock.
STREAM 01
Head-mounted RGB
The primary first-person view, what the operator sees, frame by frame.
STREAM 02
Depth
STREAM 03
Wrist camera
STREAM 04
Hand & body pose
SEE IT IN ACTION
Capture footage, not renders
A rotating sample of raw sessions across environments.
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CAPTURE_01
CAPTURE_02
CAPTURE_03
CAPTURE_04
ENVIRONMENTS WE COVER
Egocentric data across real-world environments
Every collection program is scoped to the environment where your robot will operate. We come to you.
FACTORY FLOOR
Manufacturing
Assembly, machine tending, welding, packaging, inspection, and quality control.
SERVICE ENVIRONMENT
Food & Hospitality
Commercial kitchens, food preparation, service workflows, and back-of-house operations.
OUTDOOR OPERATIONS
Agriculture
Harvesting, crop inspection, greenhouse tasks, irrigation, and field equipment handling.
CRITICAL INFRASTRUCTURE
Energy & Utilities
Infrastructure inspection, maintenance, utility operations, and industrial equipment interaction.
FIELD ENVIRONMENT
Construction & Field Operations
Material handling, site inspection, tool use, and repetitive outdoor workflows.
WHAT WE PROVIDE
Everything a collection program includes, laid out plainly
No vague promises about scale. Here is exactly what you get when you bring a task list to Robotics Data: the hardware, the people on site, the review process, and the file you actually train on.
01
Multi-modal capture
Head-mounted and wrist-mounted RGB, depth, and IMU streams, all synchronized to a single clock so nothing drifts frame to frame.
02
Environment sourcing
Real industrial and MSME floors across Punjab, arranged through our own factory relationships. Not a staged set, not stock footage.
03
Annotation pipeline
Scene, action, and pose labeling on every session, checked by a person before anything ships to you.
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Custom task design
Protocols built around your task list and your robot's actual action space, so the data maps to what you are training.
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Delivery formats
LeRobot, HDF5, or RLDS, packaged and ready to load. You spend your time training, not writing a parser.
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Data rights
Non-exclusive licensing by default, with exclusive collection runs available for teams that need it.
FROM THE TEAM
Built by people who have collected robotics data
We built Robotics Data AI after spending time where robotics datasets are actually created: factory floors, research labs, and real deployment environments. Every workflow, capture rig, and QA process on this platform comes from operational experience.
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Incubated at IM Punjab
Part of the Innovation Mission Punjab cohort in Mohali, with direct access to real factory floors for on-site capture.
Built from real deployments
Our capture rigs, collection workflows, and quality standards were refined through real robotics projects. Every improvement comes from field feedback.
DATA PROVENANCE AND COMPLIANCE
What your legal team will ask before you do
Every session we collect carries a paper trail. Before a legal review ever needs to ask, we have already answered the three questions that come up on every deal.
Worker consent
Every operator we capture signs documented consent before a session starts, kept on file and available for review.
Right-to-use license
Clear, written licensing terms travel with every dataset, so there is no ambiguity about what you are allowed to train on.
Chain of custody
Factory to collection to annotation to delivery. Each step is logged, so you can trace any session back to its source.
NEED 2D ANNOTATION TOO?
A separate, purpose built workflow
Egocentric collection and 2D annotation are different jobs, so we do not force them through the same pipeline. For bounding boxes, segmentation, and standard 2D labeling, we route work to Labellerr, our sister annotation platform built specifically for that task.
Ask us about annotation-only work →CUSTOM COLLECTION PROGRAMS
Tell us what your robot needs to learn.
Describe the task, the environment, and your hardware. We'll scope a collection program around your exact requirements and get back to you within 48 hours.