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About

Taku Kudo is a pioneering researcher at the intersection of robotics, artificial intelligence, and biomedical engineering. His primary research areas include autonomous robotic systems for regenerative medicine, cell culture automation, and intelligent infrastructure inspection. Kudo’s most impactful contribution is the development of a robotic AI system that uses batch Bayesian optimization to autonomously induce cell differentiation—a process traditionally reliant on years of expert tacit knowledge. This work, published in 2022, has already garnered 96 citations, highlighting its transformative potential for scaling regenerative medicine. He also created a variable scheduling maintenance culture platform for mammalian cells (28 citations), addressing the critical challenge of reproducible, high-quality cell production. Beyond biomedicine, Kudo has advanced robotics for civil infrastructure, developing a two-wheeled multicopter system for bridge inspection and utilizing WiFi signals to improve SLAM and person localization in large-scale mapping. His work demonstrates a rare ability to apply robotic intelligence across diverse domains—from automating the most delicate biological processes to enabling robust environmental sensing—making him a notable figure in modern robotics and automation.