Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical Systems
Autonomous agents, whether LLM-driven software agents or robotic physical agents, face a common class of failure modes when operating without continuous human oversight: safety violations from unverified actions, behavioral instability from unconstrained loops, and continuity loss from unhandled error states. We develop \system{}, a discrete-time control system that combines five execution gears (\Gobs{}, \Gsug{}, \Gplan{}, \Gexec{}, \Gint{}) with utility-gated dispatch and event-driven fallback
Record details
Published: 1 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Military & security · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (1 July 2026), “Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical Systems,” evidence record 371, https://ethics.ai/record/371 (originally published by arXiv).
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