Robotics Data Network

Hands That
Teach Machines

A decentralized network capturing real-world human demonstration data for robot intelligence.

Every task performed. Every motion recorded. Every contribution rewarded.

KitchensWarehousesHotelsRetailHouseholdsManufacturing

How It Works

From human motion to machine capability

01

Capture

Distributed operators perform everyday manipulation tasks wearing lightweight capture hardware. Kitchens, warehouses, hotels, homes: real environments with real physics, real clutter, real variation. No robots required at collection time.

02

Process

Every session is automatically synchronized, quality-scored, and packaged into training-ready formats. The protocol filters noise, detects occlusions, segments tasks, and ensures only high-fidelity data enters the network.

03

Train

Frontier robotics labs and foundation model teams access the most diverse real-world manipulation dataset available, spanning environments, tasks, and human variation at a scale no single lab can build alone.

Join the Network

Two paths, one network

For Contributors

Your work trains
the future

If you work with your hands, you already have what the robotics industry needs most. Join the network, capture data during your normal tasks, and earn for every quality session you contribute. No robotics experience needed.

Apply to Contribute
For Robotics Labs

Real-world data,
training-ready

Synchronized RGB, depth, and inertial data captured across hundreds of real environments by distributed human operators. Quality-scored, annotated, and delivered in standard formats.

MCAPLeRobotRLDS
Flectra

Crowdsourcing robot intelligence through human demonstration.