> 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/features-and-capabilities/6.3-zk-proofs-for-robotics.md).

# 6.3 ZK Proofs for Robotics

Traditional robotics platforms require robots to share raw logs, GPS trails, or video streams to prove they completed a task. This approach creates major **privacy and security risks**. A drone delivering a package, for example, would expose its full GPS route, potentially leaking customer addresses or sensitive infrastructure locations.

Roborus eliminates this issue by using **zero-knowledge proofs (ZKPs)**. A ZKP is a cryptographic method that allows a robot to **prove that it completed a task without revealing how it was done**. For example:

* A drone can prove it entered the correct delivery zone without showing its full flight path.
* A coverage robot can prove it scanned an area fully without revealing the raw video.
* A security bot can prove presence in a corridor without exposing camera frames.

ZKPs are validated on-chain by the **ZK Verifier Contract**, which accepts or rejects proofs deterministically. This ensures that payments and reputation updates only occur when valid proofs exist.

This feature is transformative because it creates a **privacy-preserving accountability mechanism**. Clients gain confidence that tasks are being completed as required, while robots and enterprises retain control over sensitive data. It shifts the robotics economy away from **data-heavy surveillance** toward **cryptographic trust**.