Meaghan Bowthorpe
Papers
7
Total Citations
128
H-Index
6
About
Meaghan Bowthorpe is a biomedical robotics researcher whose work sits at the compelling intersection of control systems engineering, medical robotics, and cardiac surgery. She has dedicated her research to solving one of medicine's most demanding challenges: enabling surgeons to operate on a freely beating heart without stopping it. Through innovative robotic teleoperation and advanced predictive control strategies — including Smith Predictor-based and Generalized Predictive Control (GPC) methods — Bowthorpe developed systems that compensate for the heart's rapid, complex motions in real time, effectively making the beating heart appear stationary to the operating surgeon. Her contributions extend to addressing critical practical obstacles such as delayed ultrasound image data, slow sampling rates, and unregistered sensor measurements, making her solutions robust enough for real surgical environments. Her most cited work, "Smith Predictor-Based Robot Control for Ultrasound-Guided Teleoperated Beating-Heart Surgery" (2013), has garnered 49 citations, reflecting its significance to the field. With a cumulative body of work exceeding 128 citations, Bowthorpe's research holds strong promise for eliminating the risks associated with heart-lung bypass machines and transforming the future of minimally invasive cardiac surgery.
Research Focus
Key Achievements
Top Papers
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- 5Development of a Robotic System to Enable Beating-heart Surgery8 citations · 2014
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