Michelle Suen

Papers

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About

Michelle Suen’s research lies at the intersection of soft robotics and novel sensing methodologies, with a particular focus on overcoming the limitations of traditional sensors in flexible, deformable systems. Her most-cited work, “Sensing the motion of bellows through changes in mutual inductance” (2016), introduces an elegant solution to a persistent challenge in soft robotics: accurately tracking the movement of bellows-like actuators. By leveraging the principle of changing mutual inductance between wire coils, Suen developed a sensing system that is both robust and seamlessly integrated into soft structures. She also contributed a modeling method to predict these inductive changes, enabling more precise control of soft robotic motion. With 20 citations, this paper has established a foundational approach for non-contact, embedded sensing in compliant systems. Suen’s work is notable for its practical ingenuity—addressing a real-world bottleneck in soft robotics—and for bridging electromagnetic theory with application-driven design. Her contributions are particularly valuable for researchers developing soft grippers, wearable robots, or any system where conventional sensors fail.