A low-cost, modular self-driving laboratory platform (RoboChem-Flex) is designed to democratize autonomous chemical experimentation. This platform combines customizable hardware with Python-based control software to make advanced Bayesian optimization more accessible. Photochemical, biocatalytic and thermal processes are demonstrated, showcasing a broad range of potential applications in both fully closed-loop and human-in-the-loop approaches.
- Simone Pilon
- Elia Savino
- Timothy Noël