7.1 Simulation-Based Tasks

Before transitioning into physical deployments, Roborus leverages simulation environments to validate its privacy-first, proof-based task model. Simulation offers a safe, scalable, and low-cost entry point for both developers and clients.

Path Planning

Robotic agents simulate navigation tasks, finding the most efficient routes in a given environment. This is crucial for logistics robots, drones, and autonomous vehicles.

• Value: Clients can test delivery or patrol strategies before real-world deployment.

• Benefit: Robots gain reputation through provable completions in a risk-free setting.

Coverage Mapping

Agents simulate tasks like cleaning, surveillance, or inspection, where complete area coverage is required.

• Value: Industries such as warehouse logistics or agriculture benefit from optimized coverage strategies.

• Benefit: Robots demonstrate real-world capabilities without physical constraints.

Vision Labeling

Simulated agents assist with computer vision by labeling or verifying datasets.

• Value: Supports AI development for robotics perception systems.

• Benefit: Provides decentralized workforce for one of the most resource-intensive AI tasks.