IULIIA Gorshkova@iuliia_gorshkova983

Partenit | Reasoning & Safety Layer for Robots Deterministic decision-making for real-world robots. Explainable. Hardware-agnostic.

For the “AI Meets Robotics” Hackathon, we built a live, interactive warehouse simulation where operators manage multiple robots in real time. In our system, AI is not the final decision-maker. It acts as a translator and planner — generating tasks and interpreting high-level goals. The actual execution is controlled by Partenit Gate, a deterministic reasoning layer that verifies every proposed action against real-world constraints: safety zones, speed limits, human proximity, and operational rules. The Gate can ALLOW, MODIFY, or BLOCK actions. If a robot attempts something unsafe, the system does not fail open — it enforces constraints physically and provides a clear reasoning trace explaining why. The result is a hybrid architecture where AI adds flexibility, but deterministic logic guarantees safety, auditability, and operator trust. This project demonstrates how AI and robotics can work together responsibly — not through vibes, but through verified decisions.

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