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Research questionHow can self-driving laboratories adapt long-running Bayesian optimization campaigns as scientific goals and execution conditions change?Long-running self-driving laboratory campaigns require specialists to translate scientific objectives into executable procedures and intervene when measurements or operating conditions change. Faulty measurements or shifting targets can otherwise leave a campaign pursuing an unsuitable procedure.
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Latest papersRecent research connected to this question, newest first.La Agente Óptima: Towards Agentic Self-Driving LaboratoriesThe source examines an LLM-based framework for constructing and supervising Bayesian optimization campaigns with persistent state and auditable decisions. Evidence covers ablations, five digital discovery tasks, and two physical platforms, including a mid-run contact-angle measurement failure and a five-day multi-objective flow-chemistry campaign.research paper · Sep 3, 2026
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