PI: Gihan Panapitiya, Energy and Environment Directorate 

AutoLabs supports the mission area of automated laboratory research by addressing the problem of efficiently translating chemical experiment requirements into functional robotic hardware specifications. The project utilizes a multi-agent generative AI approach where the agentic system first converts natural-language experiment descriptions to generate procedural steps, then transforms these steps into specialized hardware configuration files that enable robotic systems to execute chemical experiments.