TAG ARCHIVE

robot-judgment

1 MARIA OS blog articles tagged robot-judgment, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

EngineeringFebruary 12, 202645 min read

Responsible Robot Judgment OS: Multi-Universe Gate Control for Physical-World Autonomous Decision Systems

Extending fail-closed responsibility gates from digital agents to physical-world robotic systems

Physical-world robots operate under hard real-time constraints where fail-closed gates must halt actuators within milliseconds. This paper introduces a multi-universe evaluation architecture for robotic decision systems across Safety, Regulatory, Efficiency, Ethics, and Human Comfort universes. We analyze how responsibility-bounded judgment can be maintained under latency constraints, sensor noise, and embodied ethical drift, and describe components including a Robot Gate Engine, real-time conflict heatmap, ethics-calibration model, responsibility protocol, and a layered architecture bridging MARIA OS with ROS2.

roboticsrobot-judgmentphysical-worldfail-closedembodied-ethicsROS2MARIA-OS