Nano Energy, Год журнала: 2023, Номер 120, С. 109173 - 109173
Опубликована: Дек. 6, 2023
Язык: Английский
Advanced Functional Materials, Год журнала: 2024, Номер 34(49)
Опубликована: Авг. 8, 2024
Abstract Recent developments in robotics increasingly highlight the importance of sensing technology, especially tactile perception, enabling robots to effectively engage with their environment and interpret physical interactions. Due power efficiency low cost, triboelectric mechanism has been frequently studied for measuring pressure identifying materials enhance robot perception. Nevertheless, there limited exploration using effect detect curved surfaces, despite prevalence daily lives. Here, a multimodal sensor (TMTS) multilayered structural design is proposed recognize distinct materials, curvatures, simultaneously, thus decoupling different modalities enable more accurate detection. By attaching sensors robotic fingertips leveraging deep learning analytics, quantitative curvature measurement provides precise insights into an object's detailed geometric characteristics rather than merely assessing its overall shape, hence achieving automatic recognition 12 grasped objects 99.2% accuracy. The can be further used accurately softness under touch gestures hand, 94.1% accuracy, demonstrating significant potential wide‐ranging applications future robotic‐enabled intelligent society.
Язык: Английский
Процитировано
12
Chemical Reviews, Год журнала: 2024, Номер 124(20), С. 11585 - 11636
Опубликована: Окт. 11, 2024
Soft robotics presents innovative solutions across different scales. The flexibility and mechanical characteristics of soft robots make them particularly appealing for wearable implantable applications. scale level invasiveness required depend on the extent human interaction. This review provides a comprehensive overview robots, including applications in rehabilitation, assistance, organ simulation, surgical tools, therapy. We discuss challenges such as complexity fabrication processes, integration responsive materials, need robust control strategies, while focusing advances actuation sensing mechanisms, techniques. Finally, we future outlook, highlighting key proposing potential solutions.
Язык: Английский
Процитировано
12
Additive manufacturing, Год журнала: 2024, Номер 85, С. 104178 - 104178
Опубликована: Апрель 1, 2024
Язык: Английский
Процитировано
11
Nanoscale, Год журнала: 2024, Номер 16(14), С. 6778 - 6819
Опубликована: Янв. 1, 2024
The field of soft intelligent robots has rapidly developed, revealing extensive potential these for real-world applications. By mimicking the dexterities organisms, can handle delicate objects, access remote areas, and provide valuable feedback on their interactions with different environments. For autonomous manipulation robots, which exhibit nonlinear behaviors infinite degrees freedom in transformation, innovative control systems integrating flexible highly compliant sensors should be developed. Accordingly, sensor-actuator are a key strategy precisely controlling robotic motions. introduction material magnetism into robotics offers significant advantages operations, including touch or touchless detection dynamically changing shapes positions resulting from actuations robots. Notably, anisotropies magnetic nanomaterials facilitate perception response selective, directional, efficient ways used both actuators. this review provides comprehensive understanding origins anisotropy intrinsic extrinsic factors summarizes diverse materials enhanced anisotropy. Recent developments design actuators based principle outlined, specifically focusing applicabilities systems. Finally, addresses current challenges integration promising solutions that will enable advancement capable efficiently executing complex tasks relevant to our daily lives.
Язык: Английский
Процитировано
10
Nano-Micro Letters, Год журнала: 2024, Номер 17(1)
Опубликована: Ноя. 15, 2024
Abstract The complex wiring, bulky data collection devices, and difficulty in fast on-site interpretation significantly limit the practical application of flexible strain sensors as wearable devices. To tackle these challenges, this work develops an artificial intelligence-assisted, wireless, flexible, mechanoluminescent sensor system (AIFWMLS) by integration deep learning neural network-based color processing (CDPS) with a sandwich-structured (SFLC) film. SFLC film shows remarkable robust performance simple structure for easy fabrication. CDPS can rapidly accurately extract interpret to values auto-correction errors caused varying temperature, which improves accuracy predicted strain. A smart glove demonstrates great potential AIFWMLS human gesture recognition. Moreover, versatile also serve encryption device. intelligence provides promising strategy break “color value” bottleneck that hinders colorimetric sensors, could promote development from laboratory research consumer markets.
Язык: Английский
Процитировано
10
International Journal of Extreme Manufacturing, Год журнала: 2024, Номер 6(4), С. 042005 - 042005
Опубликована: Май 9, 2024
Abstract Flexible electronics offer a multitude of advantages, such as flexibility, lightweight property, portability, and high durability. These unique properties allow for seamless applications to curved soft surfaces, leading extensive utilization across wide range fields in consumer electronics. applications, example, span integrated circuits, solar cells, batteries, wearable devices, bio-implants, robotics, biomimetic applications. Recently, flexible electronic devices have been developed using variety materials organic, carbon-based, inorganic semiconducting materials. Silicon (Si) owing its mature fabrication process, excellent electrical, optical, thermal properties, cost efficiency, remains compelling material choice Consequently, the research on ultra-thin Si context is studied rigorously nowadays. The thinning crucially important it reduces bending stiffness resultant strain, thereby enhancing flexibility while preserving exceptional properties. This review provides comprehensive overview recent efforts techniques forming top-down bottom-up approaches explores their
Язык: Английский
Процитировано
9
Frontiers in Bioengineering and Biotechnology, Год журнала: 2024, Номер 12
Опубликована: Янв. 25, 2024
The development of micro/nanorobots and their application in medical treatment holds the promise revolutionizing disease diagnosis treatment. In comparison to conventional diagnostic methods, exhibit immense potential due small size ability penetrate deep tissues. However, transition this technology from laboratory clinical applications presents significant challenges. This paper provides a comprehensive review research progress micro/nanorobotics, encompassing biosensors, diagnostics, targeted drug delivery, minimally invasive surgery. It also addresses key issues challenges facing technology. fusion with treatments is poised have profound impact on future medicine.
Язык: Английский
Процитировано
8
Smart Materials and Structures, Год журнала: 2024, Номер 33(4), С. 043001 - 043001
Опубликована: Фев. 21, 2024
Abstract Hard-magnetic soft materials (hMSMs) are smart composites that consist of a mechanically polymer matrix impregnated with hard magnetic filler particles. This dual-phase composition renders them exceptional magneto-mechanical properties allow to undergo large reversible deformations under the influence external fields. Over last decade, hMSMs have found extensive applications in robotics, adaptive structures, and biomedical devices. However, despite their widespread utility, they pose considerable challenges fabrication characterization owing multi-phase nature, miniature length scales, nonlinear material behavior. Although noteworthy attempts been made understand coupled rudimentary concepts inter-phase interactions give rise mechanical nonlinearity remain insufficiently understood, this impedes further advancements. holistic review addresses these standalone bridges gaps by providing thorough examination myriad techniques, applications, experimental, modeling approaches. Specifically, presents wide spectrum ranging from traditional molding cutting-edge four-dimensional printing, unbounded prospects diverse fields research. The covers various approaches, including continuum frameworks encompassing phenomenological homogenization models, as well microstructural models. Additionally, it emerging techniques like machine learning-based context hMSMs. Finally, expansive landscape promising systems is provided for better understanding prospective
Язык: Английский
Процитировано
8
International Journal of Biological Macromolecules, Год журнала: 2025, Номер 295, С. 139713 - 139713
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
1
Nano Energy, Год журнала: 2025, Номер unknown, С. 110669 - 110669
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1