The LEGOLAS is a $300 kit for demonstrating autonomous chemistry and materials science and is supported by an open source community led by NIST. Machine learning drives experiment design, execution, and analysis in a closed loop.
Despite its low cost, Legolas has been demonstrated for machine learning-driven hypothesis design, discovery, and validation. For the last four years, Legolas has been used in hands-on courses at the University of Maryland to teach next-generation workforce skills, including ML, control systems, measurement science, materials synthesis, and decision theory.
Saar, L., Liang, H., Wang, A. et al. The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation. MRS Bulletin 47, 881–885 (2022). https://doi.org/10.1557/s43577-022-00430-2