Colonoscopy is essential for the early detection of colorectal diseases, but it remains a technically demanding procedure requiring extensive training. Realistic colon phantoms and simulators are crucial for both improving endoscopist training and evaluating new device designs. Integrating force sensing into these phantoms enables quantitative assessment of the forces exerted during procedures, providing objective feedback for trainees and critical data for assessing whether new endoscopes reduce applied forces and procedural effort. This project aims to develop a soft robotic colon phantom with embedded force sensors, creating a high-fidelity testbed for training and for validating novel soft robotic endoscope technologies.
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