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About

Michael Bentley is a rising leader in medical robotics, specializing in continuum robots and steerable needles for minimally invasive surgery. His research centers on developing motion planning and control strategies that enable these flexible instruments—such as tendon-driven robots and steerable needles—to navigate safely through constrained, delicate anatomical environments. Bentley’s major contributions include creating an interactive-rate supervisory control framework for arbitrarily-routed multitendon robots (2022, 8 citations), which allows for real-time, accurate motion planning in complex surgical spaces. He has also advanced the automation of surgical tasks for tendon-driven robots through learning from demonstration (2021, 4 citations), aiming to reduce surgeon strain as procedure volumes grow. In a notable 2023 study (4 citations), Bentley introduced a safer motion planning method for steerable needles by modeling shaft-to-tissue forces, addressing the critical challenge of curved needle insertion without damaging sensitive structures. His work directly addresses key barriers in surgical robotics—improving precision, safety, and autonomy—and holds promise for expanding access to less invasive treatments. With a focus on translating algorithmic advances into clinical impact, Bentley is shaping the future of robot-assisted surgery.