Yutaka Saitou

Papers

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About

Yutaka Saitou is a pioneering researcher in the field of robotics and hybrid dynamical systems, with a primary focus on optimal control strategies for legged and jumping robots. His major contributions center on the development of novel control frameworks for high-jump maneuvers, particularly through the innovative application of complementarity modeling and hybrid optimal control theory. In his seminal work, "Optimal high-jump control of linear 1-d.o.f trampoline robot" (2003, 6 citations), Saitou introduced an efficient modeling method based on a linear complementarity system framework and proposed a differential dynamic programming-based algorithm to solve the high-jump control problem. This research, along with his earlier study "Control Strategy for Optimal High Jump Based on Complementarity Modeling" (2002, 2 citations), established foundational approaches for managing the complex hybrid dynamics inherent in jumping robots—systems that involve contact, impact, and constraint interactions. Saitou's work has been instrumental in advancing the understanding of how to optimize performance in robotic systems that must seamlessly transition between different dynamic regimes, offering valuable insights for students and researchers in robotics, control theory, and mechatronics.