Partenit Gate - AI That Makes Robots Accountable
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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"Good concept, but project could use some refinements, and improvements to add more value"
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Nandita Krishnan
"Description: AI + deterministic safety layer for warehouse robots. "Partenit Gate" acts as verifier - AI suggests actions, Gate allows/modifies/blocks based on safety constraints. No fail-open - enforces physically. Features: AI as translator/planner Deterministic reasoning layer verifies everything Safety zones, speed limits, human proximity checks Allow/Modify/Block actions Clear reasoning trace for every decision Demo: http://45.63.65.41/game Pros: ✅ GENIUS SAFETY CONCEPT! ✅ "AI + deterministic logic" hybrid ✅ Auditability + trust ✅ Real problem (AI safety in robotics) ✅ Working demo Cons: Zero stars Warehouse setting (but safety concept is unique!)"
Sanem Avcil
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