Machine-learned, waterproof MXene fiber-based glove platform for underwater interactivities

Duan, Shengshun; Zhang, Chenyu; Li, Yinghui; Zhu, Di; Wu, Jun; Lei, Wei

doi:10.1016/j.nanoen.2021.106650

Cited by 50 publications

(36 citation statements)

References 53 publications

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“…For example, an underwater remote-control e-glove was achieved through multilayer-perception-assisted gesture recognition. 61 However, dynamic gesture recognition based on 1D time-series data that contains subtle and abundant dynamic information during hand movements is not explored thoroughly. Therefore, we here explored the 1D-CNN network for 1D time-series data analytics and dynamic gesture recognition, pushing the advancement in gesture-controlled VR/AR activities from simple homemade demonstrations to sophisticated commercial games.…”

Section: Skin-attachablementioning

confidence: 99%

Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

et al. 2023

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Electronic skin (e-skin), mimicking the physical–chemical and sensory properties of human skin, is promising to be applied as robotic skins and skin-attachable wearables with multisensory functionalities. To date, most e-skins are dedicated to sensory function development to mimic human skins in one or several aspects, yet advanced e-skin covering all the hyper-attributes (including both the sensory and physical–chemical properties) of human skins is seldom reported. Herein, a water-modulated biomimetic hyper-attribute-gel (Hygel) e-skin with reversible gel–solid transition is proposed, which exhibits all the desired skin-like physical–chemical properties (stretchability, self-healing, biocompatibility, biodegradability, weak acidity, antibacterial activities, flame retardance, and temperature adaptivity), sensory properties (pressure, temperature, humidity, strain, and contact), function reconfigurability, and evolvability. Then the Hygel e-skin is applied as an on-robot e-skin and skin-attached wearable to demonstrate its highly skin-like attributes in capturing multiple sensory information, reconfiguring desired functions, and excellent skin compatibility for real-time gesture recognition via deep learning. This Hygel e-skin may find more applications in advanced robotics and even skin-replaceable artificial skin.

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Section: Skin-attachablementioning

confidence: 99%

Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

et al. 2023

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“…The excellent underwater reliability of the PDMS coating was confirmed by no change in resistance for 1 h of water immersion compared to bare fiber (20% increase in resistance) for the same period. Furthermore, the encapsulated fiber showed excellent durability and maintained an unchanged resistance profile for 500 stretch-release cycles compared to the unencapsulated fiber, which could hardly withstand such cyclic deformations (Figure 8b) [236]. The silk yarn dip-coated with Ag nanowires (AgNWs) showed outstanding durability after being encapsulated with poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS).…”

Section: Surface Modificationmentioning

confidence: 99%

Advances in the Robustness of Wearable Electronic Textiles: Strategies, Stability, Washability and Perspective

Sadi

Kumpikaitė

2022

Nanomaterials

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Flexible electronic textiles are the future of wearable technology with a diverse application potential inspired by the Internet of Things (IoT) to improve all aspects of wearer life by replacing traditional bulky, rigid, and uncomfortable wearable electronics. The inherently prominent characteristics exhibited by textile substrates make them ideal candidates for designing user-friendly wearable electronic textiles for high-end variant applications. Textile substrates (fiber, yarn, fabric, and garment) combined with nanostructured electroactive materials provide a universal pathway for the researcher to construct advanced wearable electronics compatible with the human body and other circumstances. However, e-textiles are found to be vulnerable to physical deformation induced during repeated wash and wear. Thus, e-textiles need to be robust enough to withstand such challenges involved in designing a reliable product and require more attention for substantial advancement in stability and washability. As a step toward reliable devices, we present this comprehensive review of the state-of-the-art advances in substrate geometries, modification, fabrication, and standardized washing strategies to predict a roadmap toward sustainability. Furthermore, current challenges, opportunities, and future aspects of durable e-textiles development are envisioned to provide a conclusive pathway for researchers to conduct advanced studies.

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“…[ 17 ] Yet, another annoying thing is that interference of occlusions and poor light conditions can severely affect vision‐based object deduction. [ 18 ]…”

Section: Multimodal Sensorsmentioning

confidence: 99%

Multimodal Sensors and ML‐Based Data Fusion for Advanced Robots

Duan

Shi

2022

Advanced Intelligent Systems

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Nature has proved that multiple sense and processing capabilities are critical for target recognition and race survival. As such, advanced robots that perform missions in an unstructured environment highly need organism‐similar multimodal sensing and processing systems for sophisticated unstructured environmental stimuli. Herein, recent progress in multimodal sensing and processing systems for advanced robotics is reviewed. Multimodal sensors including tactile sensors that capture surface properties of objects (i.e., thermal conductivity, temperature, softness, and electron affinity), visual sensors that capture the color and size of objects, and gas sensors that capture object smell are summarized. The multimodal data fusion algorithms that process multimodal signals from multimodal sensors to achieve object recognition and decision making are also presented. The challenges and future development of multimodal sensors and data fusion algorithms are further discussed. Advances in these areas open new avenues for advanced robotics applications in human–robot collaboration, rescue missions, garbage sorting, and intelligent prosthetics.

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Machine-learned, waterproof MXene fiber-based glove platform for underwater interactivities

Cited by 50 publications

References 53 publications

Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables

Advances in the Robustness of Wearable Electronic Textiles: Strategies, Stability, Washability and Perspective

Multimodal Sensors and ML‐Based Data Fusion for Advanced Robots

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