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The growing demand for soft intelligent systems, which have the potential to be used in a variety of fields such as wearable technology and human-robot interaction systems, has spurred the development of advanced soft transducers. Among soft systems, sensor-actuator hybrid systems are considered the most promising due to their effective and efficient performance, resulting from the synergistic and complementary interaction between their sensor and actuator components. Recent research on integrated sensor and actuator systems has resulted in a range of conceptual and practical soft systems. This review article provides a comprehensive analysis of recent advances in sensor and actuator integrated systems, which are grouped into three categories based on their primary functions: i) actuator-assisted sensors for intelligent detection, ii) sensor-assisted actuators for intelligent movement, and iii) sensor-actuator interactive devices for a hybrid of intelligent detection and movement. In addition, several bottlenecks in current studies are discussed, and prospective outlooks, including potential applications, are presented. This categorization and analysis will pave the way for the advancement and commercialization of sensor and actuator-integrated systems.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10724400 | PMC |
http://dx.doi.org/10.1002/advs.202302775 | DOI Listing |
Microsyst Nanoeng
September 2025
Department of Ophthalmology, Key Laboratory of Precision Medicine for Eye Diseases of Zhejiang Province, Center for Rehabilitation Medicine,, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 314408, China.
Retinal surgery is one of the most delicate and complex operations, which is close to or even beyond the physiological limitation of the human hand. Robots have demonstrated the ability to filter hand tremors and motion scaling which has a promising output in microsurgery. Here, we present a novel soft micron accuracy robot (SMAR) for retinal surgery and achieve a more precise and safer operation.
View Article and Find Full Text PDFFood Chem
September 2025
Group of Chemical Analysis and Chemometrics, Department of Chemistry, Federal University of Paraná, P.O. Box: 19032, Curitiba, PR 81531-980, Brazil. Electronic address:
Yerba mate, a key crop in South America, is prized for its pleasant taste and high organoleptic quality, often linked to lower branch content. To quantify branch content and authenticate high-quality samples (less than 30 % m/m branch content), a Chemometrics-assisted Color Histogram-based Analytical System (CACHAS) was employed. Using Hue-Saturation-Value (HSV) histograms, Partial Least Squares (PLS) demonstrated excellent predictive performance, achieving a root mean square error (RMSEP) of 4.
View Article and Find Full Text PDFJ Biomech Eng
September 2025
Texas Tech University Box 41021 Lubbock, TX 79409.
Wrist biomechanics remain incompletely understood due to the complexity of experimental measurements in this multi-bone joint system. Finite element analysis provides a powerful alternative for investigating internal variables such as carpal kinematics and displacement patterns. This technical brief compares two bone representation approaches, all-cortical versus cortical-trabecular, using two distinct finite element models developed from the same wrist CT dataset.
View Article and Find Full Text PDFBiol Cybern
September 2025
Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 61801, IL, USA.
In this article, a biophysically realistic model of a soft octopus arm with internal musculature is presented. The modeling is motivated by experimental observations of sensorimotor control where an arm localizes and reaches a target. Major contributions of this article are: (i) development of models to capture the mechanical properties of arm musculature, the electrical properties of the arm peripheral nervous system (PNS), and the coupling of PNS with muscular contractions; (ii) modeling the arm sensory system, including chemosensing and proprioception; and (iii) algorithms for sensorimotor control, which include a novel feedback neural motor control law for mimicking target-oriented arm reaching motions, and a novel consensus algorithm for solving sensing problems such as locating a food source from local chemical sensory information (exogenous) and arm deformation information (endogenous).
View Article and Find Full Text PDFAdv Mater
September 2025
School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, 510006, China.
Perovskite materials have revolutionized optoelectronics by virtue of their tunable bandgaps, exceptional optoelectronic properties, and structural flexibility. Notably, the state-of-the-art performance of perovskite solar cells has reached 27%, making perovskite materials a promising candidate for next-generation photovoltaic technology. Although numerous reviews regarding perovskite materials have been published, the existing reviews generally focus on individual material systems (e.
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