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About

Tatsuki Sasamura is a rising researcher at the forefront of surgical robotics and actuator control, specializing in ultrasonic motor (USM) technology for haptic feedback systems. His work addresses a critical challenge in teleoperated surgical robots: delivering precise, real-time torque feedback without bulky sensors. Sasamura’s key contributions include developing a series elastic actuator with an ultrasonic motor for grasping force feedback in surgical robots (2024, 9 citations), enabling safer, more intuitive remote surgery. He pioneered the first deep learning approach for USM torque prediction using an attention-based BiLSTM model with improved differential evolution (2025, 5 citations), dramatically enhancing real-time control accuracy. Most recently, he introduced a hybrid physics-informed and data-driven model for sensorless torque estimation (2025, 1 citation), promising miniaturized, cost-effective medical devices. Sasamura’s innovative fusion of nonlinear actuator characterization, machine learning, and control theory is paving the way for next-generation surgical robotics. His work is already influencing haptic feedback design, with potential applications in minimally invasive surgery and assistive robotics. As his citation counts grow, Sasamura is establishing himself as a key figure in smart actuator control.