  Self Driving Labs (SDLs) that combine automation of experimental procedures
with autonomous decision making are gaining popularity as a means of increasing
the throughput of scientific workflows. The task of identifying quantities of
supplied colored pigments that match a target color, the color matching
problem, provides a simple and flexible SDL test case, as it requires
experiment proposal, sample creation, and sample analysis, three common
components in autonomous discovery applications. We present a robotic solution
to the color matching problem that allows for fully autonomous execution of a
color matching protocol. Our solution leverages the WEI science factory
platform to enable portability across different robotic hardware, the use of
alternative optimization methods for continuous refinement, and automated
publication of results for experiment tracking and post-hoc analysis.
