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Tetsuro Yabuta is a pioneering robotics researcher whose work spans robot control theory, mobile robotics, and intelligent systems. With a career stretching from the early 1990s through the 2010s, Yabuta has made foundational contributions to several interconnected domains that have collectively shaped modern robotics research. Yabuta's most influential work addresses the theoretical underpinnings of robot control, particularly the stability of hybrid position/force control schemes for robot manipulators, rigorously analyzed through Lyapunov's method — papers that have garnered over 50 combined citations. He was also an early investigator of neural network controllers for robotics, clarifying their relationship to adaptive control theory and examining stability characteristics at a time when such questions remained largely unresolved (64 citations). Beyond control theory, Yabuta has demonstrated remarkable breadth in mechanical design, proposing innovative mobile robot platforms including a piezo vibration-driven miniature tube robot (45 citations) and wire-suspended multi-unit mobile robots capable of navigating complex aerial environments (55 citations). His later research explored force-feedback-based indirect manipulation and reinforcement learning for autonomous motion generation, reflecting a sustained commitment to advancing robot intelligence. Across more than two decades, Yabuta's cumulative citation record underscores his enduring relevance to both academic researchers and robotics engineers worldwide.