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About

Y. Saitoh is a robotics researcher whose work focuses on the dynamic control of robot manipulators, particularly in environments with unknown or uncertain dynamics. Their key research areas include force control, whole-body manipulation, and adaptive control strategies for physical human-robot and robot-environment interaction. Saitoh’s most significant contribution is the development of feedback-error learning for explicit force control, enabling robots to interact safely and effectively with unknown dynamic environments—a foundational challenge in modern robotics. This work, published in 2005, has garnered 17 citations and remains influential in the field of adaptive manipulation. Saitoh also advanced whole-body manipulation by modeling and controlling multi-contact systems using sensitive skin, and proposed adaptive passive velocity field control (PVFC) and adaptive modular vector field control (AMVFC) to handle uncertain geometric constraints during contact tasks. Beyond manipulation, Saitoh contributed to the development of the Waseda Saxophonist Robot No.2 Refined III, a notable achievement in humanoid musical performance that integrates mechanical design with real-time control. With a publication record spanning adaptive control, force interaction, and humanoid robotics, Saitoh’s work continues to inform research on dexterous, environmentally adaptive robotic systems.