Artificially innervated self-healing foams as synthetic piezo-impedance sensor skins

Guo, Hongchen; Tan, Yu; Chen, Ge; Wang, Zifeng; Susanto, Glenys Jocelin; See, Hian Hian; Yang, Zijie; Lim, Zi Wei; Yang, Le; Tee, Benjamin C. K.

doi:10.1038/s41467-020-19531-0

Cited by 158 publications

(102 citation statements)

References 33 publications

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“…With the development of flexible human–machine interface devices, intensive progress has been realized by utilizing deformable conductors [ 25 , 26 ], stretchable sensors [ 27 , 28 ], or flexible films [ 29 – 31 ]. However, polymer substrates, such as polyethylene terephthalate (PET), polyimide (PI), and polydimethylsiloxane (PDMS), were used for most flexible human–machine interface devices [ 32 , 33 ], have the disadvantage of low fit and unsatisfying comfort for human body.…”

Section: Introductionmentioning

confidence: 99%

Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human–Machine Interactive Keyboards

et al. 2021

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Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things. This work presents a highly flexible and self-powered fully fabric-based triboelectric nanogenerator (F-TENG) with sandwiched structure for biomechanical energy harvesting and real-time biometric authentication. The prepared F-TENG can power a digital watch by low-frequency motion and respond to the pressure change by the fall of leaves. A self-powered wearable keyboard (SPWK) is also fabricated by integrating large-area F-TENG sensor arrays, which not only can trace and record electrophysiological signals, but also can identify individuals' typing characteristics by means of the Haar wavelet. Based on these merits, the SPWK has promising applications in the realm of wearable electronics, self-powered sensors, cyber security, and artificial intelligences.

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Section: Introductionmentioning

confidence: 99%

Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human–Machine Interactive Keyboards

et al. 2021

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“…In the micro world, it is necessary to detect and control the contact force reliably for the object is easy to be damaged 1 . Many fields, such as micro-systems 2 , biological sample examination 3 , microfluidic systems 4 , micro-assembly 5 , medicine 6 , and materials science 7 , require highly sensitive micro-force sensors. For instance, in medical cardiac catheterization, knowing the contact force between the catheter and the vascular wall is of great importance, which helps avoid damaging the patient’s fine vascular network.…”

Section: Introductionmentioning

confidence: 99%

Fiber-tip polymer clamped-beam probe for high-sensitivity nanoforce measurements

et al. 2021

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Micromanipulation and biological, material science, and medical applications often require to control or measure the forces asserted on small objects. Here, we demonstrate for the first time the microprinting of a novel fiber-tip-polymer clamped-beam probe micro-force sensor for the examination of biological samples. The proposed sensor consists of two bases, a clamped beam, and a force-sensing probe, which were developed using a femtosecond-laser-induced two-photon polymerization (TPP) technique. Based on the finite element method (FEM), the static performance of the structure was simulated to provide the basis for the structural design. A miniature all-fiber micro-force sensor of this type exhibited an ultrahigh force sensitivity of 1.51 nm μN−1, a detection limit of 54.9 nN, and an unambiguous sensor measurement range of ~2.9 mN. The Young’s modulus of polydimethylsiloxane, a butterfly feeler, and human hair were successfully measured with the proposed sensor. To the best of our knowledge, this fiber sensor has the smallest force-detection limit in direct contact mode reported to date, comparable to that of an atomic force microscope (AFM). This approach opens new avenues towards the realization of small-footprint AFMs that could be easily adapted for use in outside specialized laboratories. As such, we believe that this device will be beneficial for high-precision biomedical and material science examination, and the proposed fabrication method provides a new route for the next generation of research on complex fiber-integrated polymer devices.

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“…Another recent direction in the field is to create soft tactile sensing skins that are resistant to mechanical damage and are self-healing. Self-healing robotic skins have been explored in a variety of recent studies [90,100,101]. Such technologies have the potential to enable robotic systems to be more resilient and reduce the need for manual maintenance and intervention.…”

Section: Trends and Future Outlookmentioning

confidence: 99%

Soft Tactile Sensing Skins for Robotics

2021

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Purpose of Review Soft electronic skins (E-skins) capable of tactile pressure sensing have the potential to endow robotic systems with many of the same somatosensory properties of natural human skin. In this progress report, we review recent progress in creating soft tactile pressure sensing skins to give robots a sense of touch that resembles human skin sensing.Recent Findings For soft tactile pressure sensing skins, researchers have focused on five main sensing principles: (1) resistive; (2) capacitive; (3) magnetic; (4) barometric; and (5) optical. The combination of these traditional sensing techniques, along with the use of soft materials such as liquid metal and magnetic elastomers, has improved the perception capabilities and mechanical characteristics of artificial skin. In addition, the implementation of artificial intelligence and machine learning algorithms for data processing give robotic systems with these soft sensing skins an enhanced sense of touch.Summary E-skins for tactile sensing have a central role in a range of robotic applications, from haptics and teleoperation to bio-inspired soft robots. For many of these applications, E-skins must be soft, thin, flexible, stretchable, and lightweight so that they can be mounted on a robot, incorporated into clothing, or placed on human skin without interfering with mobility or contact mechanics. Significant research has been conducted on sensing techniques that can allow a robot to achieve a sense of human touch, with important progress being made in force feedback sensing, texture recognition, and spatial acuity. We begin by covering principles of tactile sensing in humans, robotics, and human-machine interaction. This is followed by an overview of soft material transducers capable of pressure and force sensing. This includes resistive, capacitive, magnetic, barometric, and optical sensing techniques. We close with a summary of emerging trends in sensor design and implementations for applications in robotics.

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Artificially innervated self-healing foams as synthetic piezo-impedance sensor skins

Cited by 158 publications

References 33 publications

Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human–Machine Interactive Keyboards

Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human–Machine Interactive Keyboards

Fiber-tip polymer clamped-beam probe for high-sensitivity nanoforce measurements

Soft Tactile Sensing Skins for Robotics

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