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Object shape recognition with artificial whiskers using tomographic reconstruction

Çağdaş Tuna, Joseph H. Solomon, Douglas L. Jones, Mitra J. Z. Hartmann

发表年份
2012
引用次数
7

摘要

Existing techniques utilizing bio-inspired robotic whisker sensory systems generally address object feature extraction with artificial whiskers as a mechanical problem. We present an alternative signal-processing approach that formulates the object shape recognition as a 2-D tactile imaging problem. Observing that the whisker position at the very initial contact is similar to a `ray path' in X-ray computed tomography; the 2-D cross-sectional image of the object can be tomographically reconstructed by measuring only the angle at the whisker base and the whisker-base location at the initial contact for each viewing angle. This approach has the important practical advantage of eliminating the need for the calibration of the force/moment measurements. Experimental results demonstrate the promising potential for bio-inspired systems using arrays of vibrissal sensors for object shape recognition.

关键词

Computer scienceArtificial intelligenceComputer visionObject (grammar)WhiskersPattern recognition (psychology)Computer graphics (images)Materials science

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