4.8 Article

Skin-Type Proximity Sensor by Using the Change of Electromagnetic Field

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 68, Issue 3, Pages 2379-2388

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2020.2975503

Keywords

Capacitive proximity sensor; electromagnetic field; human collaborative robots (HCRs); inductive proximity sensor; skin-type dual proximity sensor (STPS)

Funding

  1. Robot Industry Core Technology Development Program [20000944]
  2. Development of skin type proximity sensing technology for detecting human at 20 cm distance to prevent collision - Ministry of Trade, Industry and Energy (MI, Korea)
  3. Basic Science Research Program through the National Research Foundation of Korea (NRF) [S-2019-0125-000]

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This article introduces a sensor named STPS that can provide impedance distance information between the sensor and an approaching object before collision; validates a new method for selecting the resonant frequency range to optimize the measured distance; through modeling, simulation, fabrication, and signal processing methods, experimentally validates the performance of the sensor and demonstrates collaboration between humans and robots.
This article presents a sensor, called a skintype dual proximity sensor (STPS) that can provide distance information in the form of impedance between a sensor and an approaching object before the collision. Meanwhile, a new method regarding the selection of the resonant frequency range for optimizing the measured distance is validated. The sensor adopts the combined sensing principle of inductive-capacitive proximity sensing. STPS can be fabricated with various dimensions and shapes, and easily attached to robot surfaces. Represented by the series of sensors studied with the dimensions of 100 x 100 x 2.75 mm, the proposed sensor can detect an approaching human body up to 300 mm away. In this article, sensor system modeling and simulation are conducted, followed by fabrication and signal processing methods. Finally, the performances of the sensor are experimentally validated, thoroughly analyzed concerning various parameters, and demonstrated with the collaboration between human and robots.

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