Literature DB >> 28863636

A flexible dual-mode proximity sensor based on cooperative sensing for robot skin applications.

Ying Huang1, Xia Cai1, Wenqing Kan1, Shihua Qiu1, Xiaohui Guo1, Caixia Liu1, Ping Liu1.   

Abstract

A flexible dual-mode proximity sensor has been designed and implemented, which is capable of combining capacitive-resistive detection in this paper. The capacitive type proximity sensor detecting is defined as mode-C, and the resistive type proximity sensor detecting is defined as mode-R. The characteristics of the proximity sensor are as follows: (1) the theoretical mode is developed which indicates that this proximity sensor can reflect proximity information accurately; (2) both sensing modes are vertically integrated into a sandwich-like chip with an 8 mm × 12 mm unit area. The thickness of a mode-R sensing material (graphene nanoplatelets) and mode-C dielectric (the mixture of carbon black and silicone rubber) is 1 mm and 2.5 mm, respectively; (3) for mode-R, the linearity of temperature-resistance curve can achieve 0.998 in the temperature range from 25 °C to 65 °C. And for mode-C, various materials can be successfully detected with fast response and high reversibility. Meanwhile, the study compensated the influence of object temperature to ensure mode-C properly works. A cooperative sensing test shows that R-C dual modes sense effectively which can enlarge the sensing distance compared with the single mode proximity sensor. The fabrication of this sensor is convenient, and the integrity of a flexible sandwich-like structure based on dual modes is beneficial to form arrays, which is suitable to be used in skin-like sensing applications.

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Year:  2017        PMID: 28863636     DOI: 10.1063/1.4998995

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  Soft Conductive Hydrogel-Based Electronic Skin for Robot Finger Grasping Manipulation.

Authors:  Xiao Cheng; Fan Zhang; Wentao Dong
Journal:  Polymers (Basel)       Date:  2022-09-20       Impact factor: 4.967

2.  Tactile Robotic Skin with Pressure Direction Detection.

Authors:  Jan Klimaszewski; Daniel Janczak; Paweł Piorun
Journal:  Sensors (Basel)       Date:  2019-10-29       Impact factor: 3.576

3.  Human Body Parts Proximity Measurement Using Distributed Tactile Robotic Skin.

Authors:  Jan Klimaszewski; Michał Władziński
Journal:  Sensors (Basel)       Date:  2021-03-18       Impact factor: 3.576

  3 in total

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