6.2 Simulated Robot Agents

Launching a robotics marketplace with physical machines immediately introduces high costs, logistical challenges, and safety concerns. Roborus overcomes this by introducing simulated robot agents in the early phases of the platform.

Simulated agents act as digital twins of real robots. They replicate real-world functions such as pathfinding, coverage analysis, and computer vision labeling in a controlled virtual environment. This allows clients to test the system, agents to build reputation, and the platform to validate job flows without depending on physical hardware from the start.

From a technical perspective, simulation provides a sandbox for testing encryption, proof generation, payment flows, and data vault interactions. From a business perspective, it enables Roborus to launch quickly as a functional MVP while gradually onboarding real robots in later phases.

Simulated agents also provide a training ground for AI models. Developers can run experiments in a safe environment, test new algorithms, and benchmark their performance against standardized jobs. This not only improves system robustness but also creates confidence for enterprises before scaling to field robots like drones, delivery bots, or autonomous vehicles.