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This research demonstrates how autonomous robotic platforms can overcome radiation safety constraints at synchrotron facilities, enabling real-time manipulation of samples during high-flux X-ray experiments. By automating in-situ handling for materials like perovskite thin films, the study establishes a critical foundation for fully autonomous experimentation in advanced characterization environments.
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Multi-Tool Robotics Enables In-Situ Sample Manipulation for Time-Resolved Synchrotron Measurements

arXiv1 min read

arXiv:2608.19280v1 Announce Type: cross Abstract: The high photon flux at synchrotron beamlines allows for the measurement of fast dynamical processes. However, beamline radiation-safety protocols prohibit human intervention during X-ray experiments, limiting the ability to perform versatile real-time sample manipulations during continuous data acquisition. Here we present a robotic platform at an X-ray scattering beamline to enable real-time sample handling and processing in the experimental hutch, revealing previously inaccessible transient in-situ dynamics in perovskite thin films. This modular multi-tool robotic architecture enables in-hutch sample manipulation beyond human-access constraints, establishing a foundation for automated and autonomous synchrotron experimentation.

Abstract:The high photon flux at synchrotron beamlines allows for the measurement of fast dynamical processes. However, beamline radiation-safety protocols prohibit human intervention during X-ray experiments, limiting the ability to perform versatile real-time sample manipulations during continuous data acquisition. Here we present a robotic platform at an X-ray scattering beamline to enable real-time sample handling and processing in the experimental hutch, revealing previously inaccessible transient in-situ dynamics in perovskite thin films. This modular multi-tool robotic architecture enables in-hutch sample manipulation beyond human-access constraints, establishing a foundation for automated and autonomous synchrotron experimentation.

Materials Science (cond-mat.mtrl-sci); Robotics (cs.RO)

arXiv:2608.19280 [cond-mat.mtrl-sci]

(or arXiv:2608.19280v1 [cond-mat.mtrl-sci] for this version)

https://doi.org/10.48550/arXiv.2608.19280 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 187 words

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