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About

Kazuhiro Tsuruta is a robotics and control systems researcher whose work spans advanced motion control, robotic manipulation, mobile robotics, and rehabilitation engineering. His research is particularly distinguished by its focus on robust and adaptive control strategies for complex robotic systems operating under real-world uncertainties. Tsuruta's most influential contributions center on developing adaptive H∞ control frameworks for robotic manipulators, addressing challenging practical problems such as input torque uncertainty, dead-zone effects, friction compensation, and external disturbance rejection. These methods, published across multiple venues between 2006 and 2008, collectively demonstrate a sustained and systematic effort to make robotic control more reliable in uncertain environments. He extended this expertise to nonholonomic mobile robots, designing trajectory tracking controllers that handle input uncertainty at the dynamics level — a meaningful advance beyond the more commonly studied kinematics-only approaches. Beyond manipulation and mobile robotics, Tsuruta contributed to high-speed, high-precision position control using sliding mode and nonlinear compensators — work with direct relevance to semiconductor manufacturing and industrial automation. His early work on in-pipe wireless micro robots and later research on spinal cord injury rehabilitation robots further illustrate his breadth, bridging miniaturized systems and assistive technology. With citations spanning foundational control theory to applied medical robotics, Tsuruta's portfolio reflects a career dedicated to practical, safety-conscious robotic systems.