ReviewNature reviews. Chemistry2025
Steering towards safe self-driving laboratories.
Review in Nature reviews. Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists.npj drug discovery · 2026Review
- ChemGraph-XANES: an agentic framework for XANES simulation and curation.RSC advances · 2026Article
- AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization.Chemical reviews · 2026Article
- A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems.Advanced drug delivery reviews · 2026Review
- Illuminating the Interface: In Situ Optical Insights Into Two-Electron ORR Pathways for HAdvanced materials (Deerfield Beach, Fla.) · 2026Review
- Organic Chemistry as a Catalyst for AI Innovation: Challenges, Methods, and Emerging Paradigms.Chemical reviews · 2026Review
- RobInHood: a robotic chemist in a fume hood.Digital discovery · 2026Article
- Chemist Eye: a visual language model-powered system for safety monitoring and robot decision-making in self-driving laboratories.Digital discovery · 2026Article
- General-Purpose Models for the Chemical Sciences: LLMs and Beyond.Chemical reviews · 2026Review
- DoE-It-Yourself (DoEIY): An Open-Access Web Application for Democratizing Experimental Design in Chemical and Materials Research.Small methods · 2026Article
- Automated Biomedical Research Laboratories: Development, Current State, and a Roadmap for Adaptation into Shared Research Resources.Journal of biomolecular techniques : JBT · 2026Review
- A Visual Dataset for Anomaly Detection in Self-Driving Laboratories.Scientific data · 2025Article
- Automating quantum computing laboratory experiments with an agent-based AI framework.Patterns (New York, N.Y.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The past decade has witnessed remarkable advancements in autonomous systems, such as automobiles that are evolving from traditional vehicles to ones capable of navigating complex environments without human intervention. Similarly, the rise of self-driving laboratories (SDLs), which leverage robotics and artificial intelligence to accelerate discovery, is driving a paradigm shift in scientific research. As SDLs evolve to expand the scope of chemical processes that can be performed, it is essential to bring safety to the forefront to ensure that the necessary safeguards are in place to mitigate against potential accidents that range from near-misses to catastrophic failures. This Perspective examines the development trajectory of SDLs, juxtaposing their development with those of other autonomous technologies, with a particular focus on safety. We explore current safety status and concerns, identify opportunities for innovation to shape this rapidly evolving landscape, and reflect on the actions the SDL community can take moving forward.
Identifiers
40826175What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.