While CSP can provide valuable insights into a molecule's structural preferences, we are not yet able to account for the effect of crystallization solvent in a computationally affordable way. This is a particularly acute problem when searching for porous molecular crystals, where solvent stabilization increases the energetic range of possible structures on the lattice energy landscape, sometimes up to thousands of candidates. As such, experimental crystallization screens are needed to identify the conditions needed to access interesting predicted structures in the laboratory. To address this, we develop here a high-throughput robotic crystallization screening protocol to search for polymorphs of interest that are predicted by CSP.