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Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. Rather than attempting deterministic mass control, STORMS leverages stochastic sampling combined with robotic automation, and glass encapsulation to achieve statistically robust and reproducible sample collection. We show that this approach delivers high precision and throughput across a range of solid materials, while supporting straightforward parallelization thanks to encapsulation and minimal operator intervention. Benchmarking against conventional sampling workflows demonstrates substantial gains in speed and reproducibility. 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