MicCheck: Repurposing Off-the-Shelf Pin Microphones for Easy and Low-Cost Contact Sensing
Steven Oh, Tai Inui, Magdeline Kuan, Jia-Yeu Lin

TL;DR
MicCheck introduces a simple, low-cost contact sensing method using off-the-shelf Bluetooth pin microphones, enhancing robotic manipulation and perception without complex hardware.
Contribution
This work repurposes inexpensive Bluetooth pin microphones as effective contact sensors for robotic manipulation and perception tasks.
Findings
Achieves 92.9% accuracy in material classification across four interaction types.
Doubles success rate in manipulation tasks from 0.40 to 0.80.
Enables reliable execution of contact-rich skills like unplugging and sound-based sorting.
Abstract
Robotic manipulation tasks are contact-rich, yet most imitation learning (IL) approaches rely primarily on vision, which struggles to capture stiffness, roughness, slip, and other fine interaction cues. Tactile signals can address this gap, but existing sensors often require expensive, delicate, or integration-heavy hardware. In this work, we introduce MicCheck, a plug-and-play acoustic sensing approach that repurposes an off-the-shelf Bluetooth pin microphone as a low-cost contact sensor. The microphone clips into a 3D-printed gripper insert and streams audio via a standard USB receiver, requiring no custom electronics or drivers. Despite its simplicity, the microphone provides signals informative enough for both perception and control. In material classification, it achieves 92.9% accuracy on a 10-class benchmark across four interaction types (tap, knock, slow press, drag). For…
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Taxonomy
TopicsAdvanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Interactive and Immersive Displays
