2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) 2020
DOI: 10.1109/fleps49123.2020.9239587
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3D Printed Robotic Hand with Embedded Touch Sensors

Abstract: This paper presents a 3D printed robotic hand designed to have two capacitive touch sensors embedded in the distal phalanges of the fingers. Additionally, the readout electronics have been designed and fabricated to obtain the digital values of the capacitances and to use this data for touch feedback control. The touch or pressure sensors were fabricated by 3D printed electrodes using copper based conductive filament and a two part-rubber as the dielectric. The sensitive fingertip was tested with dynamic and s… Show more

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Cited by 14 publications
(2 citation statements)
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“…The various interactions in the sensor have been summarized into a model, highlighting the factors that can be readily controlled by the designer. The sensor design can be applied in a wide range of applications in order to measure both contact forces and deformation, such as gripping systems, robotic hands, or prosthesis and, thus, be an alternative to capacitive touch sensors, e.g., [41].…”
Section: Discussionmentioning
confidence: 99%
“…The various interactions in the sensor have been summarized into a model, highlighting the factors that can be readily controlled by the designer. The sensor design can be applied in a wide range of applications in order to measure both contact forces and deformation, such as gripping systems, robotic hands, or prosthesis and, thus, be an alternative to capacitive touch sensors, e.g., [41].…”
Section: Discussionmentioning
confidence: 99%
“…One challenge with monocrystalline solar cells used in this work is that they may break easily during the interaction of objects (particularly when the impact force is high) due to their brittle nature. With suitable packaging such as 3D printing or a similar approach, [ 117 ] it is possible to overcome such challenges. The solar e‐skin discussed earlier does not use any touch sensor to detect touch sensing.…”
Section: Energy‐harvesting Technologiesmentioning
confidence: 99%