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About

H. Fusayasu is a researcher advancing the field of multi-degree-of-freedom (multi-DOF) spherical actuators, with a focus on high-torque-density designs for robotics and industrial machinery. Their major contribution is the development of an outer-rotor-type three-DOF spherical actuator, which enables precise multi-axis motion in a compact form. Fusayasu’s work addresses critical challenges in torque calculation and positioning accuracy, as seen in their most-cited paper, “Analysis Accuracy in Positioning Calculation for Three-Degree-of-Freedom Spherical Actuator” (2021, 12 citations). They have also pioneered the application of deep reinforcement learning for robust control of these actuators, detailed in a 2022 paper (6 citations), showcasing a novel intersection of machine learning and electromechanical systems. Further contributions include improving torque calculation analysis accuracy (2021, 3 citations). With a cumulative impact of over 20 citations, Fusayasu’s research is foundational for next-generation robotic joints and precision machinery, offering both theoretical insights and practical control solutions. Their work stands out for integrating advanced computational methods with actuator design, positioning them as a key innovator in spherical actuator technology.