Max Robotics — Global Service Robot Directory + US Certification

About

Naruki Yoshikawa is a pioneering researcher at the intersection of robotics, artificial intelligence, and laboratory automation, with a particular focus on accelerating scientific discovery through self-driving laboratories. His work addresses a fundamental challenge in modern science: the labor-intensive, repetitive nature of experimental research in chemistry and biology. Yoshikawa's most influential contributions center on integrating large language models with robotic systems to create intelligent laboratory assistants. His landmark 2023 paper on LLMs for chemistry robotics (98 citations) demonstrated how natural language instructions could be seamlessly translated into executable robot actions, fundamentally lowering the barrier to lab automation. This vision was further realized through ORGANA (93 citations), a sophisticated robotic assistant capable of handling complex electrochemical experimentation with minimal human intervention. Beyond high-level system design, Yoshikawa has championed accessible, open-source infrastructure for the scientific community, developing tools like the 3D-printed digital pipette and the Chemspyd Python interface, democratizing automation for resource-limited laboratories. His iterative prompting framework for error-corrected robot programming further demonstrates his commitment to robust, real-world deployable systems. With over 300 cumulative citations and growing contributions spanning chemistry, biology, and AI, Yoshikawa is rapidly establishing himself as a defining voice in the emerging field of autonomous scientific discovery.