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      Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system

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          Abstract

          Rapid developments of robotics and virtual reality technology are raising the requirements of more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost and complex data processing to track the multi-dimensional human motions. Alternatively, we propose a triboelectric bi-directional sensor as a universal and cost-effective solution to a customized exoskeleton for monitoring all of the movable joints of the human upper limbs with low power consumption. The corresponding movements, including two DOF rotations of the shoulder, twisting of the wrist, and the bending motions, are detected and utilized for controlling the virtual character and the robotic arm in real-time. Owing to the structural consistency between the exoskeleton and the human body, further kinetic analysis offers additional physical parameters without introducing other types of sensors. This exoskeleton sensory system shows a great potential of being an economic and advanced human-machine interface for supporting the manipulation in both real and virtual worlds, including robotic automation, healthcare, and training applications.

          Abstract

          Next-generation flexible and wearable sensors are a promising technology to enhance the functionality of human-machine interfaces. Here, the authors report triboelectric bi-directional sensors integrated into an exoskeleton system for enhanced degrees of freedom in movement.

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          Most cited references62

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          Structural absorption by barbule microstructures of super black bird of paradise feathers

          Many studies have shown how pigments and internal nanostructures generate color in nature. External surface structures can also influence appearance, such as by causing multiple scattering of light (structural absorption) to produce a velvety, super black appearance. Here we show that feathers from five species of birds of paradise (Aves: Paradisaeidae) structurally absorb incident light to produce extremely low-reflectance, super black plumages. Directional reflectance of these feathers (0.05–0.31%) approaches that of man-made ultra-absorbent materials. SEM, nano-CT, and ray-tracing simulations show that super black feathers have titled arrays of highly modified barbules, which cause more multiple scattering, resulting in more structural absorption, than normal black feathers. Super black feathers have an extreme directional reflectance bias and appear darkest when viewed from the distal direction. We hypothesize that structurally absorbing, super black plumage evolved through sensory bias to enhance the perceived brilliance of adjacent color patches during courtship display.
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            Stretchable silicon nanoribbon electronics for skin prosthesis.

            Sensory receptors in human skin transmit a wealth of tactile and thermal signals from external environments to the brain. Despite advances in our understanding of mechano- and thermosensation, replication of these unique sensory characteristics in artificial skin and prosthetics remains challenging. Recent efforts to develop smart prosthetics, which exploit rigid and/or semi-flexible pressure, strain and temperature sensors, provide promising routes for sensor-laden bionic systems, but with limited stretchability, detection range and spatio-temporal resolution. Here we demonstrate smart prosthetic skin instrumented with ultrathin, single crystalline silicon nanoribbon strain, pressure and temperature sensor arrays as well as associated humidity sensors, electroresistive heaters and stretchable multi-electrode arrays for nerve stimulation. This collection of stretchable sensors and actuators facilitate highly localized mechanical and thermal skin-like perception in response to external stimuli, thus providing unique opportunities for emerging classes of prostheses and peripheral nervous system interface technologies.
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              A bioinspired flexible organic artificial afferent nerve

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                Author and article information

                Contributors
                chent@suda.edu.cn
                elelc@nus.edu.sg
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 May 2021
                11 May 2021
                2021
                : 12
                : 2692
                Affiliations
                [1 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Department of Electrical & Computer Engineering, , National University of Singapore, ; Singapore, 117576 Singapore
                [2 ]GRID grid.452673.1, National University of Singapore Suzhou Research Institute (NUSRI), ; Suzhou Industrial Park, Suzhou, 215123 China
                [3 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Singapore Institute of Manufacturing Technology and National University of Singapore (SIMTech-NUS) Joint Lab on Large-area Flexible Hybrid Electronics, , National University of Singapore, ; Singapore, 117576 Singapore
                [4 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Center for Sensors and MEMS, , National University of Singapore, ; Singapore, 117576 Singapore
                [5 ]GRID grid.263761.7, ISNI 0000 0001 0198 0694, Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering, , Soochow University, ; Suzhou, 215123 China
                [6 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, NUS Graduate School - Integrative Sciences and Engineering Program (ISEP), , National University of Singapore, ; Singapore, 119077 Singapore
                Author information
                http://orcid.org/0000-0001-7365-1945
                http://orcid.org/0000-0003-3550-2310
                http://orcid.org/0000-0002-8886-3649
                Article
                23020
                10.1038/s41467-021-23020-3
                8113469
                33976216
                80454b7a-635d-4696-9eca-7b4c82d8603b
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 November 2020
                : 15 March 2021
                Funding
                Funded by: 1. National Research Foundation, Singapore under its AI Singapore Programme (AISG Award No: AISG-GC-2019-002); 2. National Key Research and Development Program of China (Grant No. 2019YFB2004800, Project No. R-2020-S-002) at NUSRI, Suzhou, China; 3. “Intelligent monitoring system based on smart wearable sensors and artificial technology for the treatment of adolescent idiopathic scoliosis”, the “Smart sensors and artificial intelligence (AI) for health” seed grant (R-263-501-017-133) at NUS Institute for Health Innovation & Technology (NUS iHealthtech); 4. Collaborative Research Project under the SIMTech-NUS Joint Laboratory, “SIMTech-NUS Joint Lab on Large-area Flexible Hybrid Electronics”; 5. National Research Funding - Competitive Research Programme (NRF-CRP) (R-719-000-001-281).
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                electrical and electronic engineering,mechanical engineering
                Uncategorized
                electrical and electronic engineering, mechanical engineering

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