Kiyotaka Fukamachi

Cleveland Clinic Lerner College of Medicine

Papers

Total Citations

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About

Kiyotaka Fukamachi is a leading researcher in the field of robotic-assisted beating heart surgery, specializing in advanced control systems and motion estimation algorithms. His work focuses on enabling surgeons to operate on a beating heart without stabilizers, effectively making the heart appear stationary through robotic compensation. Fukamachi’s major contributions include developing adaptive estimation algorithms for heart motion prediction, which are critical for active relative motion cancellation—a technique where a robot precisely tracks a point of interest on the heart surface. His most-cited paper, "Heart Motion Prediction Based on Adaptive Estimation Algorithms for Robotic-Assisted Beating Heart Surgery" (2012, 57 citations), lays the foundation for this approach. He further advanced the field by addressing the challenge of arrhythmia in "Towards Active Tracking of Beating Heart Motion in the Presence of Arrhythmia for Robotic Assisted Beating Heart Surgery" (2014, 15 citations), proposing feed-forward control algorithms to maintain tracking accuracy despite irregular heartbeats. Fukamachi’s work is pivotal for improving the safety and efficacy of minimally invasive cardiac procedures, with his algorithms directly impacting the bandwidth and precision requirements of robotic systems. His research continues to influence the development of next-generation surgical robots, making him a key figure in biomedical robotics.