Hiromichi Taketa
Papers
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About
Hiromichi Taketa is a leading figure in the development of self-driving laboratories (SDLs), with a core focus on robotic process automation and the seamless integration of AI-driven experimentation. His most significant contribution is the creation of NIMO (formerly NIMS-OS), an advanced orchestration software that bridges the critical gap between legacy robotic systems and modern AI algorithms. In his highly cited 2025 case study, Taketa demonstrated how NIMO enables the effortless integration of older liquid handlers into a fully autonomous research workflow, a breakthrough that dramatically lowers the barrier to entry for labs seeking to adopt SDL technology. By solving the interoperability challenge, his work has accelerated the adoption of closed-loop, AI-guided experimentation across materials science and chemistry. With his foundational paper already garnering citations, Taketa is recognized as a key architect of the practical infrastructure needed to make self-driving labs a mainstream reality, empowering researchers to automate complex workflows without replacing their existing equipment.
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