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Drawing on foundational knowledge of the structure and function of biological muscles, artificial muscles have made remarkable strides over the past decade, achieving performance levels comparable to those of their natural counterparts. However, they still fall short in their lack of inherent intelligence to autonomously adapt to complex and dynamic environments. Consequently, the next frontier for artificial muscles lies in endowing them with advanced intelligence. Herein, recent works aimed at augmenting intelligence in artificial muscles are summarized, focusing on advancements in functional materials, structural designs, and manufacturing techniques. This review emphasizes memory-based intelligence, enabling artificial muscles to execute a range of pre-programmed movements and refresh stored actuation states in response to changing conditions, as well as sensory-based intelligence, which allows them to perceive and respond to environmental changes through sensory feedback. Furthermore, recent applications benefiting from intelligent artificial muscles, including adaptable robotics, biomedical devices, and wearables, are discussed. Finally, we address the remaining challenges in scalability, dynamic reprogramming, and the integration of multi-functional capabilities and discuss future perspectives of augmented intelligent artificial muscles to support further advancements in the field.
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http://dx.doi.org/10.1039/d5mh00236b | DOI Listing |
Anim Sci J
September 2025
Faculty of Agriculture, Iwate University, Morioka, Japan.
Hardness of meat is one of the most important textural properties noted while eating. Bromelain, found in pineapples, is an enzyme that degrades collagen, a factor that affects meat hardness. The latter is generally evaluated based on shear strength and texture; however, such methods are destructive.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
September 2025
Dynamic optimization is a versatile control tool to determine optimal control inputs in a redundantly actuated wearable robot. However, dynamic optimization requires high computational resources for real-time implementation. In this paper, we present a bio-inspired control approach, based on the principle of muscle synergies, to reduce the computational cost of optimization.
View Article and Find Full Text PDFMater Today Bio
October 2025
Department of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, 646000, Luzhou, China.
Atherosclerosis (AS) is a chronic inflammatory disease driven by endothelial dysfunction, vascular smooth muscle cell proliferation, and insufficient resolution of inflammation. Nitric oxide (NO) plays a crucial role in vascular homeostasis by promoting endothelial cell proliferation, maintaining endothelial integrity, suppressing smooth muscle cell hyperplasia, and exerting potent anti-inflammatory effects. However, clinical application of NO is hindered by its short half-life, lack of targeting, and uncontrolled release.
View Article and Find Full Text PDFPflugers Arch
September 2025
Department of Science, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Hypoxia has been extensively studied as a stressor which pushes human bodily systems to responses and adaptations. Nevertheless, a few evidence exist onto constituent trains of motor unit action potential, despite recent advancements which allow to decompose surface electromyographic signals. This study aimed to investigate motor unit properties from noninvasive approaches during maximal isometric exercise in normobaric hypoxia.
View Article and Find Full Text PDFJMIR Form Res
September 2025
Department of Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, No. 106, Zhongshaner Rd, Guangzhou, 510080, China, 86 15920151904.
Background: Point-of-care ultrasonography has become a valuable tool for assessing diaphragmatic function in critically ill patients receiving invasive mechanical ventilation. However, conventional diaphragm ultrasound assessment remains highly operator-dependent and subjective. Previous research introduced automatic measurement of diaphragmatic excursion and velocity using 2D speckle-tracking technology.
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