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Tactile sensing for gecko-inspired adhesion

Xinghua Wu, Srinivasan A. Suresh, Hao Jiang, J. Ulmen, Elliot W. Hawkes, David L. Christensen, Mark R. Cutkosky

Year
2015
Citations
20

Abstract

Adhesion quality sensing is critical to the performance of any robot that utilizes gecko-inspired dry adhesives for climbing, perching, or grasping. We present a 3-axis tactile sensor designed for this application that demonstrates performance on par with a large commercial load cell while being compact enough to integrate into a robot foot. The sensor can measure spatially distributed force loads and demonstrates high sensitivity in both shear and normal components. Results showcase the sensor's ability to detect a variety of unreliable contact and loading conditions before the onset of adhesion failure.

Keywords

GeckoTactile sensorRobotClimbingAdhesionComputer scienceAdhesiveShear forceMaterials scienceArtificial intelligence

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