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About

Dalia Osman is a pioneering researcher in the field of soft and continuum robotics, with a specific focus on optical shape sensing for minimally invasive surgery (MIS) and flexible robotic manipulators. Her major contributions center on the development of miniaturized, high-precision optoelectronic sensors that enable accurate pose and joint angle measurement in constrained environments—a critical challenge for closed-loop control in soft robotics. Her most-cited work, "Development of an Optical Shape Sensing Method Using Optoelectronic Sensors for Soft Flexible Robotic Manipulators in MIS" (2022, 10 citations), introduces a novel design that measures two-orientation pose, while her subsequent papers (each garnering 7 citations) refine miniature joint sensors using curvature-based reflecting surfaces. In 2024, she advanced the field further with a method for 3D shape sensing using convex reflectors, targeting applications from surgery to search-and-rescue. Osman’s work stands out for its practical integration of mathematical modeling with sensor characterization, offering scalable solutions for continuum robotics. Her achievements are notable for bridging the gap between sensor miniaturization and real-world robotic dexterity, making her a key innovator in medical and industrial robotics.