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Show HN: I made a new sensor out of 3D printer filament for my PhD
Explore the creation of the OptiGap Sensor System, a novel bend localization sensor for soft robotics, detailing the research journey and development process behind it.
This led me to the idea of cutting the filament and then reattaching it together using a flexible rubber (silicone) sleeve, leaving a small air gap, as shown in the image below. I proceeded to construct a prototype of the OptiGap sensor system, utilizing 3 strands of clear TPU 3D printer filament, each featuring a distinct pattern of air gaps. I opted for a naive Bayes classifier due to its efficiency compared to if-statements or lookup tables, its capability to handle new or previously unseen data, and its potential for increased accuracy by considering relationships between multiple input variables.
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