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About

Tadashi Egami is a pioneering robotics researcher whose work has shaped the development of intelligent, autonomous systems for over three decades. His primary research areas include optimal digital servo systems, nonlinear robot control, and autonomous locomotion for quadruped robots. Egami’s most significant contribution is the introduction of initial value compensation for optimal digital servosystems, a foundational concept that enables precise trajectory control in robot manipulators—particularly for variable-speed path control. This work, published in 1990, remains his most cited paper with 11 citations. He further advanced the field by developing a digital nonlinear control method for direct-drive robots using real-time preview virtual desired signals, demonstrating that only acceleration changes at the moment of input torque change. Egami has also made notable strides in infrastructure inspection robotics, creating a synchronous position control system for robots moving on rope tethers, addressing the critical need for automated bridge and tunnel maintenance. His research extends to biologically inspired design, including a neural control system for quadruped robots walking on soft terrain and a novel robot hand employing an iris mechanism for versatile grasping. Through these innovations, Egami has consistently pushed the boundaries of robotic precision, autonomy, and real-world applicability.