Tetsuhiko Yamamoto

Papers

Total Citations

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About

Tetsuhiko Yamamoto is a researcher specializing in the control of nonholonomic and underactuated robotic systems—machines whose motion is constrained by geometry or limited actuators. His work addresses fundamental challenges in robotics, particularly the fact that nonholonomic systems, such as wheeled mobile robots, cannot be stabilized using continuous static state feedback. Yamamoto’s most cited paper, “Intelligent control of a three-DOF planar underactuated manipulator” (2009, 5 citations), explores intelligent control strategies for robots with fewer actuators than degrees of freedom. In “Neurocontroller with a genetic algorithm for nonholonomic systems: flying robot and four-wheel vehicle examples” (2009, 4 citations), he integrates neural networks and evolutionary algorithms to achieve stable control of complex systems. His paper “A discontinuous control of a nonholonomic wheeled mobile robot” (2009, 3 citations) proposes a discontinuous control law to overcome the stabilization barrier inherent to such systems. Though his citation counts are modest, Yamamoto’s contributions lie in pioneering the application of intelligent and discontinuous control methods to challenging robotic platforms, offering foundational insights for students and researchers working on advanced robot motion planning and control.