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Inspect Robots: Evaluating the Capabilities and Safety of Embodied AI

Christopher Leet, Achu Menon, Sravanthi Machcha, Sabrina Zou, Aayushya Patel, Aditya Kumar Singh, Anish Kr Singh, Galaba Vamsi, Javin Ahuja, Sai Asish Yamani, Tushar Anand, Vedang Alle, Zihan Jack Zhang, Tzu Kit Chan, Jay Chooi

arXiv:2610.06306Published October 5, 20260 citations
  • cs.RO
  • robot
  • embodied
  • robotic
  • action

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.

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