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What is Robotin Network ?
Robotin Network is a decentralized embodied intelligence data platform, co-creating foundational datasets to train the next generation of AI robotics. We start with the large-scale contribution of real-world household clutter and spatial organization scenes, progressively expanding toward complex, teleoperated embodied-task data. Your authentic, everyday contributions directly empower robots to master advanced spatial perception, logical reasoning, and precise manipulation.
Active
Track 1
Household Clutter Perception Data- Level 1: Scattered Objects
- Level 2: Dense Clutter
- Hazards & Edge Cases
Coming Soon
Track 2
Embodied Task DataTeleoperated mobile robot + arm system for pick-and-place and household tasks.
Why It Matters ?
Robots learn from experience.
But real-world experience — messy, complex, and unstructured — is extremely hard to source at scale. Robotin Network empowers a global community to contribute real household environments and tasks, co-creating a shared training foundation for future embodied AI systems.
Real Data
Authentic, diverse, and cluttered — just like the real world robots must navigate and organize.
Real Homes
Contributed by real people worldwide, capturing true spatial and environmental diversity.
Real Intelligence
Building the foundational data infrastructure for truly capable, context-aware embodied AI.
How the Ecosystem Works ?
The Robotin Network ecosystem is built on a multi-tiered framework.
Data Contribution Layer
The Data Collection Layer forms the foundation of Robotin Network, utilizing household devices to capture high-fidelity, real-world data— ranging from video sequences to motion patterns.
This decentralized approach ensures diverse, high-quality data from everyday environments, vital for the development of embodied AI.
Data Processing and Refinement Layer
After data is contributed, it is processed and refined in the Data Processing and Refinement Layer.
Here, the raw data is enhanced and structured by expert data professionals into valuable, actionable datasets ready for AI training and robotic system development.
Data Consumption and Application Layer
The refined data is then made available in the Data Consumption and Application Layer, where it can be utilized by various industries such as physical AI and household robotics.
These applications rely on high-quality datasets to enhance their functionality and efficiency, driving the future of embodied intelligence.
Tokenization and Value Exchange Layer
Through the Tokenization and Value Exchange Layer, ROBOTIN tokenizes the real-world data.
This allows data contributors to earn tokens for their contributions, while data consumers can access and utilize these datasets to further their work in AI and robotics development.
Physical AI and Embodied Intelligence Training Data
Robot Manipulation Data
In parallel, our data collection system gathers video sequences from wrist-mounted cameras on robot arms, capturing end-to-end manipulation actions:
Household Clutter Scene Data
Scattered objects, tangled cables, dense clutter — contributed from everyday homes fuels perception models that help robots understand and organize real-world environments.
Embodied AI Training
Embodied AI learns by interacting with the real world. Training requires large-scale data, enabling robots to perceive, understand, and act with human-like adaptability. The market is huge.
Why Choose Us?
ROBOTIN is a decentralized, global platform for Physical AI and Embodied Intelligence. Training data collection, processing, and storage.
Decentralized Data Collection
Next Generation AI
Data Security
Tailored for Web3
Token Staking
Ease to Use Interface
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