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New agentic framework automates scientific discovery in self-driving labs

Researchers have developed "La Agente Óptima," an agentic framework designed to automate and supervise Bayesian optimization campaigns for scientific discovery. This framework separates large language model reasoning from experimental execution, allowing for persistent optimization states and auditable decisions. Óptima has demonstrated its ability to maintain and adapt campaigns across digital and physical platforms, including identifying and correcting measurement failures in contact angle optimization and increasing yield in flow chemistry experiments. The system aims to make complex optimization processes more accessible to scientists without requiring specialist setup, thereby expanding the capabilities of self-driving laboratories. AI

IMPACT This framework could accelerate scientific breakthroughs by making complex, automated experimentation more accessible to researchers.

RANK_REASON The cluster describes a new research paper detailing a novel agentic framework for scientific discovery.

Read on arXiv cs.MA (Multiagent) →

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New agentic framework automates scientific discovery in self-driving labs

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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Marcel M\"uller, Jiaru Bai, Willi Gottstein, Abhijoy Mandal, Mohammad Nazeri, Elia Savino, Yanlin Fang, Sujoy Das, Sergio Pablo Garc\'ia Carrillo, Yeonghun Kang, Juan B. P\'erez-S\'anchez, Simone Pilon, Martin Fitzner, Timothy No\"el, Frank Gu, Varinia B… ·

    La Agente \'Optima: Towards Agentic Self-Driving Laboratories

    arXiv:2609.04564v1 Announce Type: new Abstract: Self-driving laboratories (SDLs) combine automated experimentation with adaptive decision-making to accelerate scientific discovery. Their operation nevertheless often depends on human specialists who translate scientific objectives…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Alán Aspuru-Guzik ·

    La Agente Óptima: Towards Agentic Self-Driving Laboratories

    Self-driving laboratories (SDLs) combine automated experimentation with adaptive decision-making to accelerate scientific discovery. Their operation nevertheless often depends on human specialists who translate scientific objectives into executable closed-loop campaigns. Speciali…

  3. LessWrong (AI tag) TIER_1 English(EN) · Ana Leonescu ·

    Safe(r) Self-Driving Labs #1

    <blockquote><p><i><b><span>Context</span></b></i><i><span>: This is inspired by my first ever piece I wrote on anything AI safety related when I discovered AI safety was a thing back in March 2026, published originally on my Substack. The version here has been modified to represe…