Human‐Like Electronic Skin‐Integrated Soft Robotic Hand

Yamaguchi, Takafumi; Kashiwagi, Tsutomu; Arie, Takayuki; Akita, Seiji; Takei, Kuniharu

doi:10.1002/aisy.201900018

Cited by 72 publications

(58 citation statements)

References 19 publications

(23 reference statements)

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“…One of the biggest examples is prosthesis, where detecting various signals with extremely high sensitivity is required while withstanding highlevels of deformation (Kim et al, 2014;Chen et al, 2020). Artificial electronic skin and motion detection should closely mimic real interaction with the surroundings and resemble biological human skin, as well as having the ability to heal itself with occasional damage (Lumelsky et al, 2001;Engel et al, 2005;Tee et al, 2012;Yamaguchi et al, 2019). Some additional functionalities, such as humidity sensing for skin moisture sensation, thermal heating for body temperature regulation, and the ability to interface with the peripheral nervous system are some of the goals to reach in this field (Kim et al, 2011;Kenry and Lim, 2016) and should pave the way for improved soft-robotics (Oh et al, 2020).…”

Section: Bioelectronicsmentioning

confidence: 99%

Flexible Electronics: Status, Challenges and Opportunities

2020

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The concept of flexible electronics has been around for several decades. In principle, anything thin or very long can become flexible. While cables and wiring are the prime example for flexibility, it was not until the space race that silicon wafers used for solar cells in satellites were thinned to increase their power per weight ratio, thus allowing a certain degree of warping. This concept permitted the first flexible solar cells in the 1960s (Crabb and Treble, 1967). The development of conductive polymers (Shirakawa et al., 1977), organic semiconductors, and amorphous silicon (Chittick et al., 1969; Okaniwa et al., 1983) in the following decades meant huge strides toward flexibility and processability, and thus these materials became the base for electronic devices in applications that require bending, rolling, folding, and stretching, among other properties that cannot be fulfilled by conventional electronics (Cheng and Wagner, 2009) (Figure 1). Presently there is great interest in new materials and fabrication techniques which allow for highperformance scalable electronic devices to be manufactured directly onto flexible substrates. This interest has also extended to not only flexibility but also properties like stretchability and healability which can be achieved by utilizing elastomeric substrates with strong molecular interactions (Oh et al., 2016; Kang et al., 2018). Likewise, biocompatibility and biodegradability has been achieved through polymers that do not cause adverse effect to the body and can be broken down into smaller constituent pieces after utilization (Bettinger and Bao, 2010; Irimia-Vladu et al., 2010; Liu H. et al., 2019). This new progress is now enabling devices which can conform to complex and dynamic surfaces, such as those found in biological systems and bioinspired soft robotics. These next-generation flexible electronics open up a wide range of exciting new applications such as flexible lighting and display technologies for consumer electronics, architecture, and textiles, wearables with sensors that help monitor our health and habits, implantable electronics for improved medical imaging and diagnostics, as well as extending the functionality of robots and unmanned aircraft through lightweight and conformable energy harvesting devices and sensors. While conventional electronics are very capable of these functions, flexible electronics are intended to expand the mechanical features to adhere to novel form factors through hybrid strategies, or as standalone solutions where the application does not require high computation power, intended to be highly robust to deformation, low cost, thin, or disposable. The definition of flexibility differs from application to application. From bending and rolling for easier handling of large area photovoltaics, to conforming onto irregular shapes, folding, twisting, stretching, and deforming required for devices in electronic skin, all while maintaining device performance and reliability. While early progress and many important innovations have alre...

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Section: Bioelectronicsmentioning

confidence: 99%

Flexible Electronics: Status, Challenges and Opportunities

2020

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“…As for soft robotics, featuring high compliance and dexterity with muscle-like actuators, soft materials including silicone rubber and thermoplastic polyurethanes (TPUs) have been widely used in the fabrication 13 – 16 . Hence, the high nonlinear deformation and no-joint structure hinder the application of the traditional sensors such as potentiometer and encoder, causing the necessity of sensors compatible for soft robots 17 . For instance of sensor topology, the embedded soft resistive sensors were utilized to capture the deformations of soft grippers together with vision-based motion capture system 18 .…”

Section: Introductionmentioning

confidence: 99%

Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications

Jin¹,

Sun²,

Li³

et al. 2020

Nat Commun

444

266

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Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report a smart soft-robotic gripper system based on triboelectric nanogenerator sensors to capture the continuous motion and tactile information for soft gripper. With the special distributed electrodes, the tactile sensor can perceive the contact position and area of external stimuli. The gear-based length sensor with a stretchable strip allows the continuous detection of elongation via the sequential contact of each tooth. The triboelectric sensory information collected during the operation of soft gripper is further trained by support vector machine algorithm to identify diverse objects with an accuracy of 98.1%. Demonstration of digital twin applications, which show the object identification and duplicate robotic manipulation in virtual environment according to the real-time operation of the soft-robotic gripper system, is successfully created for virtual assembly lines and unmanned warehouse applications.

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“…Recent advancements in soft sensors and actuators have unleashed the higher potential of HMI devices for its mechanical compliance, which provides a comfortable environment to the user. [1][2][3][4][5] An HMI is a bidirectional communication interface that is divided into human-to-machine (H2M) systems and machine-to-human (M2H) systems. H2M devices include sensors for measuring command signals such as touch, [6][7][8] voice, [9,10] and gesture, [11][12][13][14] which allow for better system control, and measurement systems for measuring electrophysiological signals such as electromyography (EMG), electrocardiography (ECG), and electrooculography (EOG).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%