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"Keynote Title: ""Co-evolution of Human and AI-Robots to Expand Science Frontiers"" Speaker Biography Kanako Harada is a Professor at the Center for Disease Biology and Integrative Medicine (CDBIM), Graduate School of Medicine, The University of Tokyo. She is also jointly appointed in the Departments of Bioengineering and Mechanical Engineering, Graduate School of Engineering. She serves as Project Manager of the national flagship “Moonshot” program led by the Cabinet Office. Harada received her M.Sc. in Engineering from The University of Tokyo in 2001 and her Ph.D. in Engineering from Waseda University in 2007. Her previous positions include Hitachi Ltd., the Japan Association for the Advancement of Medical Equipment, and Scuola Superiore Sant’Anna in Italy. From 2016 to 2019, she was Program Manager of the Cabinet Office’s ImPACT program. Her research interests include autonomous medical robotic systems, surgical skills assessment, virtual-reality simulators, and regulatory science. Abstract Self-driving laboratories are advancing rapidly, enabling high-throughput and reproducible experiments through the integration of AI and automation. While these systems accelerate existing workflows, the challenge remains to expand scientific exploration into domains that exceed human cognitive and physical capacities. Our vision is to go beyond mimicking human scientists by developing AI-robotic systems capable of conducting experiments that humans alone cannot perform. This requires the integration of cognitive AI for hypothesis generation, physical AI for delicate and adaptive manipulations, and mathematical frameworks for their seamless coordination, supported by innovations in robotic hardware. Through this approach, we have developed prototypes of AI-robot scientists and applied them to real scientific contexts, ranging from plant biology to animal and human-related studies, generating new discoveries and insights. This presentation introduces the concept and achievements of this transdisciplinary project, highlighting how the co-evolution of humans and AI-robots can open unprecedented avenues for scientific discovery. "