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Evidence record 17999 · automatically gathered

Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy

Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility actions planning models propose. Like general-purpose LLMs, robotics planning models carry risks: biased toward user-specified goals, they may suggest actions misaligned with scientific ethics, they may be unsafe due to an inability to "remember" prior safety risks, or they may be vulnerable to adver

Record details

Published: 10 August 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Safety & alignment · Agents & autonomy
Retrieved: 11 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (10 August 2026), “Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy,” evidence record 17999, https://ethics.ai/record/17999 (originally published by arXiv).

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