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Inspect Robots provides a critical open-source framework for systematically evaluating the safety and capabilities of embodied agents controlled by frontier language models. By automating the setup, execution, and analysis of physical evaluations, this tool addresses the growing need to assess societal risks associated with AI-driven robotics. Its rapid adoption underscores the community's urgent focus on aligning general-purpose LLMs with reliable robotic hardware control.
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Inspect Robots: Evaluating the Capabilities and Safety of Embodied AI

arXiv2 min read

arXiv:2610.06306v1 Announce Type: new Abstract: General purpose language models are increasingly able to control robotic hardware. Understanding the capabilities and safety of these models when embodied is therefore increasingly important for understanding their societal impact and risks. To this end, we introduce Inspect Robots, a modular, open-source framework for developing and running evaluations of embodied agents. Inspect Robots pairs customizable, reusable abstractions for specifying physical evaluations and analyzing their results with infrastructure that automates evaluation setup, execution and termination. We demonstrate Inspect Robots by using it to evaluate the capabilities and safety of six policies based on frontier language models. Inspect Robots has seen significant early uptake, receiving nearly 100,000 downloads in the three months since its release.

Abstract:General purpose language models are increasingly able to control robotic hardware. Understanding the capabilities and safety of these models when embodied is therefore increasingly important for understanding their societal impact and risks. To this end, we introduce Inspect Robots, a modular, open-source framework for developing and running evaluations of embodied agents. Inspect Robots pairs customizable, reusable abstractions for specifying physical evaluations and analyzing their results with infrastructure that automates evaluation setup, execution and termination. We demonstrate Inspect Robots by using it to evaluate the capabilities and safety of six policies based on frontier language models. Inspect Robots has seen significant early uptake, receiving nearly 100,000 downloads in the three months since its release.

Robotics (cs.RO)

arXiv:2610.06306 [cs.RO]

(or arXiv:2610.06306v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2610.06306 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 206 words

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