Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.
Authors
- Jason E. Hein (ORCID: https://orcid.org/0000-0002-4345-3005)
- Florian Shkurti (ORCID: https://orcid.org/0000-0002-5672-5831)
- Dennis Knobbe (ORCID: https://orcid.org/0000-0002-4891-9783)
- Hatem Fakhruldeen
- Naruki Yoshikawa (ORCID: https://orcid.org/0000-0003-1546-8709)
- Sami Haddadin (ORCID: https://orcid.org/0000-0001-7696-4955)
- Patrick Courtney (ORCID: https://orcid.org/0000-0003-3846-8541)
- A. Wolf (ORCID: https://orcid.org/0000-0001-7094-4267)
- Gabriella Pizzuto (ORCID: https://orcid.org/0000-0002-8541-0759)
- Kerstin Thurow (ORCID: https://orcid.org/0000-0002-3281-1065)
- Moritz Eckhoff (ORCID: https://orcid.org/0000-0003-0757-9193)
- Andrew I. Cooper (ORCID: https://orcid.org/0000-0003-0201-1021)
- Animesh Garg (ORCID: https://orcid.org/0000-0003-0482-4296)
- Rafael Vescovi (ORCID: https://orcid.org/0000-0002-0652-1128)
- Henning Zwirnmann (ORCID: https://orcid.org/0000-0002-6097-8858)
- Birgit Vogel‐Heuser (ORCID: https://orcid.org/0000-0003-2785-8819)
- Kourosh Darvish (ORCID: https://orcid.org/0000-0003-4984-432X)
- Yan Zeng
- Zhengxue Zhou (ORCID: https://orcid.org/0000-0001-9478-9361)
- Maria Hübner
- Kanako Harada (ORCID: https://orcid.org/0000-0002-0221-7890)
- Rashik Shrestha
- Andrea Gabrielli
Institutions
- Florida State University (US)
- Obuda University (HU)
- Argonne National Laboratory (US)
- University of British Columbia (CA)
- University of Liverpool (GB)
- University of Toronto (CA)
- Structural Genomics Consortium (CA)
- Takeda (Switzerland) (CH)
- Roche Pharma AG (Germany) (DE)
- Mohamed bin Zayed University of Artificial Intelligence (AE)
- Unchained Labs (United States) (US)
- CS Diagnostics (DE)
- Institute of Automation (DE)
- Institute of Science Tokyo (JP)
- University of Rostock (DE)
- Technical University of Munich (DE)
- The University of Tokyo (JP)
- Silpakorn University (TH)
Publication Details
- Journal
- Science Robotics
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1126/scirobotics.adv7932
- Citations
- 5
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 20.84