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About

George E. Mylonas is pioneering the next generation of soft continuum robots for minimally invasive surgery, with a focus on endoscopy and gastrointestinal interventions. His research integrates soft actuation, variable stiffness mechanisms, and advanced sensing to create safer, more dexterous surgical tools. Mylonas’s most cited work (2023, 7 citations) introduces a novel method for predicting both tip position and contact force in soft continuum actuators using Electrical Impedance Tomography combined with recurrent neural networks—a breakthrough for autonomous shape reconstruction and force sensing in confined surgical spaces. He has also developed a soft Cable-Driven Parallel Robot with a hydraulic variable stiffness end-effector (2025, 2 citations), demonstrating six degrees of freedom and successful passage through a colon model, knot tying, and tissue retraction. His 2024 study on tissue palpation in endoscopy further showcases how EIT and soft actuators can enable autonomous diagnostic touch. By merging soft robotics with artificial intelligence, Mylonas is advancing toward truly autonomous surgical interventions, enhancing both safety and precision in procedures that were previously limited by rigid tools.