The paper introduces RoboChem-Flex, an innovative, low-cost self-driving laboratory designed to make autonomous chemical research accessible to resource-limited institutions. By utilizing 3D-printed components and open-source software, the researchers reduced the system's entry cost to approximately $5,000, significantly lower than traditional high-end robotic platforms. The system features a flexible Python-based framework that manages hardware control and utilizes Bayesian optimization to navigate complex chemical spaces independently. Its versatility is demonstrated through six diverse case studies, ranging from photocatalysis and biocatalysis to complex cross-coupling reactions. This platform supports both fully autonomous closed-loop operations and human-in-the-loop configurations to maximize experimental efficiency. Ultimately, the source highlights a significant step toward democratizing automation in synthetic organic chemistry by lowering financial and technical barriers.

References:

• Pilon S, Savino E, Bayley O M, et al. A flexible and affordable self-driving laboratory for automated reaction optimization[J]. Nature Synthesis, 2026: 1-13.