ROSep 30, 2016

Skin Normal Force Calibration Using Vacuum Bags

arXiv:1609.09720v110 citations
Originality Synthesis-oriented
AI Analysis

This addresses force sensing calibration for humanoid robots, but it is incremental as it applies an existing vacuum bag method to a specific robot skin.

The paper tackled calibrating the iCub robot's skin to measure normal force by using vacuum bags to apply uniform pressure, achieving acceptable average errors in force prediction.

The paper presents a proof of concept to calibrate iCub's skin using vacuum bags. The method's main idea consists in inserting the skin in a vacuum bag, and then decreasing the pressure in the bag to create a uniform pressure distribution on the skin surface. Acquisition and data processing of the bag pressure and sensors' measured capacitance allow us to characterize the relationship between the pressure and the measured capacitance of each sensor. After calibration, integration of the pressure distribution over the skin geometry provides us with the net normal force applied to the skin. Experiments are conducted using the forearm skin of the iCub humanoid robot, and validation results indicate acceptable average errors in force prediction.

Foundations

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