Using Machine Learning for Material Detection with Capacitive Proximity Sensors
Yitao Ding,Hannes Kisner,Tianlin Kong,Ulrike Thomas,Yitao Ding,Hannes Kisner,Tianlin Kong,Ulrike Thomas
The ability of detecting materials plays an important role in robotic applications. The robot can incorporate the information from contactless material detection and adapt its behavior in how it grasps an object or how it walks on specific surfaces. In this, paper we apply machine learning on impedance spectra from capacitive proximity sensors for material detection. The unique spectra of certain ...
