Feature Suite

1. DePAI Brains

DePAI Brains are modular, blockchain-registered AI models that power robots within the RoboCore ecosystem.

• Hosted on-chain or IPFS via NFT-based wrappers.

• Owned and upgraded by individuals, DAOs, or dev groups.

• Interoperable across supported Robotic Bodies.

• Each Brain has a “skillset profile” and performance ranking.

• Can be trained through AI-Training Mining by users.

Example Skills: Navigation, Grasping, Voice Interaction, Object Recognition, Task Planning.

2. Robotic Bodies

These are the physical units that embody DePAI Brains and operate in real-world environments.

• Produced by certified manufacturers or DIY communities.

• Identified on-chain by NFTs with metadata: capabilities, sensors, motor count, location, etc.

• Compatible with multiple DePAI Brains via containerized AI runtime.

• Can self-report health, status, and operational metrics to the chain.

Examples: Drones, service bots, humanoid robots, mobile platforms, robotic arms.

3. AI-Training Mining

A novel crypto-native method to train AI through decentralized participation.

• Users provide datasets, simulate environments, or validate training results.

• Contributors are rewarded in $ROBOC, the native token, based on contribution quality and quantity.

• Training occurs in decentralized sandboxes and on-chain verification models.

• Verified improvements are stored on-chain as new versions of DePAI Brains.

Incentivized Roles:

• Data Labelers

• Simulation Runners

• Validators

• Evaluators

• Compute Providers

4. AI-to-Robot Bounties

Smart contract-enabled task bounties for robots to execute real-world missions.

• Clients post tasks via dApps (e.g., deliver item, scan area, clean room).

• Tasks are matched with eligible DePAI Brains + Robotic Bodies.

• Robots autonomously accept, execute, and verify completion on-chain.

• $ROBOC payments are escrowed and released upon task verification.

Example Use Cases:

• Disaster response

• Elderly care

• Warehouse automation

• Real-time surveillance

• Urban mapping

5. Robot-as-a-Node Network (RaaN)

A distributed physical computing network where each robot acts as a data source and computational agent.

• Robots form a decentralized mesh network for edge computing tasks.

• Operates peer-to-peer using blockchain protocols for task assignment and reward distribution.

• Offers services like decentralized mapping, traffic analysis, environmental monitoring.

• Each node earns rewards for uptime, usefulness, and data contribution.

Features:

• Dynamic bandwidth and compute marketplace

• On-chain identity and reputation for each robot

• Edge AI inference marketplace

• Secure data transmission via zk-proofs and IPFS