A low-cost, human-like, high-resolution, tactile sensor based on optical fibers and an image sensor. (10th July 2018)

• Record Type: Journal Article
• Authors: Büyükşahin, Utku; Kırlı, Ahmet
• Is Part Of: International journal of advanced robotic systems. Volume 15:Number 4(2018:Jul./Aug.)
• Publication Date: 2018-07-10
• Subjects: Tactile sensor prototype -- silicone pad -- artificial skin -- biomimetic -- high spatial resolution -- fiber optics -- image processing; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881418783631
• Languages: English
• ISSNs: 1729-8806

Abstract

Tactile sensors are commonly a coordinated group of receptors forming a matrix array meant to measure force or pressure similar to the human skin. Optic-based tactile sensors are flexible, sensitive, and fast; however, the human fingertip's spatial resolution, which can be regarded as the desired spatial resolution, still could not be reached because of their bulky nature. This article proposes a novel and patented optic-based tactile sensor design, in which fiber optic cables are used to increase the number of sensory receptors per square centimeter. The proposed human-like high-resolution tactile sensor design is based on simple optics and image processing techniques, and it enables high spatial resolution and easy data acquisition at low cost. This design proposes using the change in the intesity of the light occured due to the deformation on contact/measurement surface. The main idea is using fiber optic cables as the afferents of the human physiology which can have 9 µm diameters for both delivering and receiving light beams. The variation of the light intensity enters sequent mathematical models as the input, then, the displacement, the force, and the pressure data are evaluated as the outputs. A prototype tactile sensor is manufactured with 1-mm spatial and 0.61-kPa pressure measurement resolution with 0–15.6 N/cm 2 at 30 Hz sampling frequency. Experimental studies with different scenarios are conducted to demonstrate how this state-of-the-art design worked and to evaluate its performance. The overall accuracy of the first prototype, based on different scenarios, is calculated as 93%. This performance is regarded as promising for further developments and applications such as grasp control or haptics.