AFRG estimates grinding force from contact microphone audio for closed-loop robotic control, delivering 4-fold better consistency across disc conditions at roughly 200 times lower cost than force sensors.
Comparative study of popular deep learning models for machining roughness classification using sound and force signals
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Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding
AFRG estimates grinding force from contact microphone audio for closed-loop robotic control, delivering 4-fold better consistency across disc conditions at roughly 200 times lower cost than force sensors.