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Yoshikuni Okawa is a pioneering researcher in robotics, with a career spanning autonomous navigation, humanoid motion control, and educational robotics. His most influential work, "On-line Motion Planning of an Autonomous Mobile Robot to Avoid Multiple Moving Obstacles," (1997, 16 citations) introduced a predictive algorithm that allows robots to navigate dynamic environments by anticipating the future trajectories of moving obstacles—a foundational contribution to safe human-robot interaction. Okawa also advanced anthropomorphic robotics with his real-time control method for a robot that simultaneously walks and manipulates objects, addressing impedance control under unknown external forces (2000, 10 citations). His earlier work on mobile robot manipulation, including the "push-a-box" operation (1993, 2 citations) and structured guiding signs (1991, 2 citations), demonstrates a long-standing focus on practical, real-world robot tasks. Beyond technical contributions, Okawa has explored the societal impact of robotics, publishing on "Robot Assisted Instruction" in education (2009, 6 citations) and the application of robot performance in physical education (2011, 2 citations). His research bridges fundamental motion planning with applied educational technology, influencing both autonomous systems and the integration of robotics into learning environments.