> For the complete documentation index, see [llms.txt](https://roborus.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://roborus.gitbook.io/whitepaper/use-cases/7.3-human-participation.md).

# 7.3 Human Participation

Roborus is not limited to robotic agents. It enables **everyday users to join the ecosystem** through active contribution and participation.

#### **Running AI Models on Local Machines**

Users install the Roborus SDK to run lightweight AI models or robotic simulations. Their systems act as decentralized compute nodes, earning rewards for successful validations.

* **Value**: Expands the network’s compute power beyond robot owners.
* **Benefit**: Democratizes earning opportunities and lowers entry barriers.

#### **Referrals & Community Engagement**

Community growth is incentivized through referral programs and engagement rewards. Early adopters benefit from helping expand the network.

* **Value**: Network effect drives adoption.
* **Benefit**: Builds a community-driven growth model rather than centralized marketing.

#### **Small-Scale Robot Rentals**

Users with consumer-grade robots (like hobby drones or educational bots) can register their machines for smaller jobs.

* **Value**: Increases diversity of robotic agents.
* **Benefit**: Provides real-world earning opportunities for hobbyists and students.