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Proceedings Paper

Characterization of large-area pressure sensitive robot skin
Author(s): Mohammad Nasser Saadatzi; Joshua R. Baptist; Indika B. Wijayasinghe; Dan O. Popa
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Paper Abstract

Sensorized robot skin has considerable promise to enhance robots’ tactile perception of surrounding environments. For physical human-robot interaction (pHRI) or autonomous manipulation, a high spatial sensor density is required, typically driven by the skin location on the robot. In our previous study, a 4x4 flexible array of strain sensors were printed and packaged onto Kapton sheets and silicone encapsulants. In this paper, we are extending the surface area of the patch to larger arrays with up to 128 tactel elements. To address scalability, sensitivity, and calibration challenges, a novel electronic module, free of the traditional signal conditioning circuitry was created. The electronic design relies on a software-based calibration scheme using high-resolution analog-to-digital converters with internal programmable gain amplifiers. In this paper, we first show the efficacy of the proposed method with a 4x4 skin array using controlled pressure tests, and then perform procedures to evaluate each sensor’s characteristics such as dynamic force-to-strain property, repeatability, and signal-to-noise-ratio. In order to handle larger sensor surfaces, an automated force-controlled test cycle was carried out. Results demonstrate that our approach leads to reliable and efficient methods for extracting tactile models for use in future interaction with collaborative robots.

Paper Details

Date Published: 16 May 2017
PDF: 9 pages
Proc. SPIE 10216, Smart Biomedical and Physiological Sensor Technology XIV, 102160G (16 May 2017); doi: 10.1117/12.2262821
Show Author Affiliations
Mohammad Nasser Saadatzi, Univ. of Louisville (United States)
Joshua R. Baptist, Univ. of Louisville (United States)
Indika B. Wijayasinghe, Univ. of Louisville (United States)
Dan O. Popa, Univ. of Louisville (United States)


Published in SPIE Proceedings Vol. 10216:
Smart Biomedical and Physiological Sensor Technology XIV
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

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