In this work, we present our 'MAP for Intelligent Nanomaterial synthesis Enabled by Robotics for Versatile Applications', MINERVA, a modular robotic synthesis platform which can reproducibly synthesize a large variety of nano-and advanced materials and perform their inline characterization regarding size, surface charge, and optical properties. The system employs standard laboratory hardware (or the corresponding automated counterparts), making the adaptation of literature or in-house procedures for the batch synthesis of nanomaterials straightforward, helping with the upscaling which is often required for transitioning into highertier technology readiness levels (TRLs), and enabling easier collaborative development of syntheses between different groups. The versatility of the platform and the ease of adaptation of synthesis procedures from different fields are demonstrated for six representative nano-and advanced materials, including metal, metal-oxide, silica, metal-organic framework, and core-shell particles synthesized via different reaction mechanisms, including chemical reduction, coprecipitation, sol-gel reaction, coordination chemistry, and seed-mediated growth.