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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 ego-centric household task video as the next high-value data tier. Your authentic, everyday contributions directly empower robots to master advanced spatial perception, logical reasoning, and to understand and navigate real living environments.
Active
Track 1
Household Clutter Perception Data- Level 1: Scattered Objects
- Level 2: Dense Clutter
- Hazards & Edge Cases
ACTIVE
Track 2
Ego-centric household task videoContributors capture first-person video of daily household activities using a phone or head-mounted device.
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.
Physical AI and Embodied Intelligence Training Data
Robot Manipulation Data
Training embodied AI systems requires diverse, high-quality data across multiple modalities. Robot manipulation datasets — captured via wrist-mounted cameras on robot arms — record end-to-end action sequences and are widely used in research and industry training pipelines. Ego-centric video is another key data type in this space: first-person footage of real people performing everyday tasks in real homes. Robotin is building a decentralized network to collect this data at scale, sourced directly from contributors around the world.
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
Web3 Support
Token Staking
Ease to Use Interface
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