> For the complete documentation index, see [llms.txt](https://robocore-official.gitbook.io/roboc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://robocore-official.gitbook.io/roboc/feature-suite.md).

# 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