Community Contributor Participation and Network Value

Robotin Network is designed to make participation open, accessible, and scalable. Anyone can contribute valuable embodied intelligence data without owning any specialized hardware. Our contribution model evolves across three layers, each enabling users to participate in the creation of high-quality real-world AI datasets.

Phase 1 — Household Perception Data (App Contribution)

The first and most accessible entry point is the Robotin app, where contributors capture and upload household perception images—such as floor conditions, surface cleanliness, and object states. These visual samples form the foundational data needed for embodied intelligence systems to understand real household environments.

This process requires no additional hardware and allows the network to grow rapidly, ensuring diverse, authentic, and globally distributed perception data.

Phase 2 — Remote Teleoperation of Robotin Manipulators

As the network expands, contributors can participate at a higher level by remotely operating Robotin’s robotic manipulators hosted in controlled environments. Through teleoperation, users perform real manipulation tasks—grasping, moving, sorting, or reorganizing objects—providing the high-value action demonstrations required for training Vision-Language-Action (VLA) models.

This human-in-the-loop system democratizes access to embodied AI data production:

any contributor can provide human-quality manipulation trajectories without needing physical robots at home.

These teleoperated demonstrations become one of the most critical components of the Robotin dataset due to their richness, complexity, and direct relevance to real-world robot behavior.

Phase 3 — Future Household Robots as Continuous Data Contributors

In the long term, Robotin aims to enable autonomous embodied robots to operate directly inside real households. During routine tasks such as tidying, organizing, and assisting with daily activities, these robots will continuously contribute large-scale embodied intelligence data.

As more robot platforms—both developed by Robotin and from external partners—integrate into the network, Robotin will evolve into a global data infrastructure for physical AI.

A Unified Multi-Source Data Economy

Across these three contribution layers, participants earn $RTIN rewards proportional to the type, quality, and value of data they provide.

Perception images, teleoperated manipulation trajectories, and future autonomous household robot data all contribute to a unified, scalable, and sustainable ecosystem.

By empowering individuals—not just institutions—to contribute embodied intelligence data, the Robotin Network unlocks a new model of decentralized, community-driven physical AI development.