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Automation can transform productivity in research activities that use liquidhandling, such as organic synthesis, but it has made less impact in materialslaboratories, which require sample preparation steps and a range of solid-statecharacterization techniques. For example, powder X-ray diffraction (PXRD) is akey method in materials and pharmaceutical chemistry, but its end-to-endautomation is challenging because it involves solid powder handling and sampleprocessing. Here we present a fully autonomous solid-state workflow for PXRDexperiments that can match or even surpass manual data quality. The workflowinvolves 12 steps performed by a team of three multipurpose robots,illustrating the power of flexible, modular automation to integrate complex,multitask laboratories.

Modular, Multi-Robot Integration of Laboratories: An Autonomous Solid-State Workflow for Powder X-Ray Diffraction