Google Research grounds AI agents in wet-lab robotics with VERID framework
Google Research outlined three projects bringing AI agents to physical wet labs, including the VERID framework for safe, resource-efficient experimentation grounded in physical measurements. The team demonstrated closed-loop agentic discovery for aptamer and de-novo protein design, reporting single-digit nanomolar protein binders for cancer targets. The work targets gaps in 3D reasoning and slow experimental feedback.
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“By grounding agents in physical lab robotics, we can run fast closed-loop molecular design cycles where agents learn how to learn, ultimately discovering single-digit nanomolar protein binders for cancer targets.”
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