Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)最新文献

{"title":"Human-in-the-Loop Swarms: A Bionic Swarm Approach to Real-World Soil Mapping","authors":"Petras Swissler,&nbsp;Mohammadali Rashidioun,&nbsp;Nicholas Sahu,&nbsp;Raaid Kabir,&nbsp;Ayodeji Aderibigbe,&nbsp;Oladoyin Kolawole","doi":"10.1002/aisy.202501218","DOIUrl":"https://doi.org/10.1002/aisy.202501218","url":null,"abstract":"<p>Swarm and field robotics face significant barriers to real-world validation due to the high cost and development time to deploy hardware. This article introduces the “Bionic Swarm,” a novel system that lowers these barriers by abstracting away many of the tasks that are difficult to implement on robots but which do not contribute to the overall algorithm evaluation, giving these tasks to human users. These human users take directions from a smartphone web app that takes measurements from Bluetooth-connected sensors and relays them to a centralized server. This server runs the swarm algorithm and directs actions to the human users. We evaluate this system through the experimental validation of a geotechnically focused search algorithm named Score-Biased Search, which functions by assigning a “score” to each location on a reconstructed map, then biases search patterns through areas of higher expected scores, and exhibits superlinear map reconstruction relative to the number of search agents. After presenting simulation results for the algorithm, we then apply the algorithm on the Bionic Swarm platform to validate its function in a real-world outdoor setting. This work demonstrates that this human-in-the-loop approach significantly lowers the barrier to entry for field and swarm robotics research.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Segmented Therapeutic Delivery via Acoustic Microbubble Relay","authors":"Lei Wang,&nbsp;Yiyang Tang,&nbsp;Yiqiang Wu,&nbsp;Xin Zhang,&nbsp;Tianshi Lyu,&nbsp;Zhen Hua,&nbsp;Tian-Yun Huang","doi":"10.1002/aisy.70453","DOIUrl":"https://doi.org/10.1002/aisy.70453","url":null,"abstract":"<p>Conventional medical microcatheters, characterized by their stiff, continuous hollow tube design, encounter inevitable mechanical constraints when delivering therapeutic agents through tortuous, highly curved, and narrowing microvascular networks. To overcome this constraint, we introduce an acoustic microbubble-powered segmented delivery system. This microdevice utilizes oscillating microbubbles confined within discrete 3D-printed microchannels, interconnected via rotary microhinges. Under ultrasonic excitation, these series-connected bubble units generate directional acoustic streaming, enabling the targeted delivery of diverse microcargos. Tilted bubble arrays under ultrasound produce asymmetric vortices, breaking flow symmetry and establishing net streamlines that drive unidirectional movement across open channels. Comprehensive experimental and theoretical analyses reveal frequency-dependent flow regimes, with a resonant peak at 102 kHz achieving delivery velocities up to 630 nL/min at 40 V_pp. Geometric optimization reveals a linear correlation among delivery efficiency, acoustic voltage, and bubble quantity and identifies an optimal microchannel length that enhances performance by minimizing vortex interference. Critically, the system enables segmented acoustic delivery around sharp bends (&gt;90°), maintaining hydrodynamic continuity through modular units connected at variable interunit angles. A dual-bubble configuration achieves 100% delivery success across diverse materials and high-curvature conditions. This approach decouples delivery efficacy from catheter stiffness, providing a mechanically flexible and reconfigurable solution for complex luminal geometries.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70453","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Memristor-Based In-Memory Computing System-on-Chip with Efficient Depthwise Convolution","authors":"Wenhao Song,&nbsp;Fuxi Cai,&nbsp;Sangsu Park,&nbsp;Zhaoyan Li,&nbsp;Seonghun Lee,&nbsp;Mingyi Rao,&nbsp;Woohyung Choi,&nbsp;Seungin Shin,&nbsp;Yan Zhu,&nbsp;Sujin Chae,&nbsp;Myoungsub Kim,&nbsp;Mingche Wu,&nbsp;Hyejung Choi,&nbsp;Yuan Dao,&nbsp;Jaeyun Yi,&nbsp;Youngman Cho,&nbsp;Seon Yong Cha,&nbsp;Ning Ge,&nbsp;Qiangfei Xia,&nbsp;Soo Gil Kim,&nbsp;Miao Hu,&nbsp;J. Joshua Yang","doi":"10.1002/aisy.202501225","DOIUrl":"https://doi.org/10.1002/aisy.202501225","url":null,"abstract":"<p>In-memory computing (IMC) using memristor crossbar arrays offers a promising approach to accelerating neural networks by performing analog computation directly within memory, thereby minimizing data movement and enhancing energy efficiency. While prior work has focused primarily on dense neural operations, depthwise convolution (DWC), a key operation in lightweight models like MobileNets, poses unique challenges due to its limited cross-channel data reuse and irregular access patterns. This work proposes a novel IMC architecture tailored for efficient DWC acceleration using memristors. Our design features a zig–zag selection-line topology that significantly improves memory utilization compared to conventional 1T1R crossbars while preserving dense operations’ throughput and energy efficiency. We fabricate a system-on-chip (SoC) implementing the proposed architecture and experimentally validate its performance. Fabricated in a 65 nm complementary metal–oxide–semiconductor process, the SoC delivers a measured energy efficiency of 21.3 TOPS/W at 100 MHz and lifts the per-array weight utilization of depthwise layers to ∼100%. End-to-end deployment of a tailored MobileNetV1 on the visual-wake-words dataset reaches an inference accuracy of 80.36%, on par with the same software model quantized to 4-bit precision. This first hardware demonstration of depthwise-separable convolution on a memristor-based IMC SoC establishes the readiness of memristor-based IMC for next-generation edge-artificial intelligence accelerators.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Programmable Flocks: Hierarchical Swarm Control via Dynamic Parameter Injection","authors":"Vivek Shankar Varadharajan,&nbsp;Giovanni Beltrame","doi":"10.1002/aisy.202600004","DOIUrl":"https://doi.org/10.1002/aisy.202600004","url":null,"abstract":"<p>We present a method for the control of robot swarms which allows the shaping and the translation of patterns of simple robots (“smart particles”), using two types of devices. These two types represent a hierarchy: a larger group of simple, oblivious robots (which we call <i>the workers</i>) that is governed by simple local attraction forces and a smaller group (the <i>guides</i>) that dynamically inject new interaction parameters into the worker swarm, reprogramming their local attraction/repulsion rules to achieve and maintain desired formations. This framework exploits the knowledge of the guides, which coordinate to shape the workers like smart particles by changing their interaction parameters. We study the approach with a large-scale simulation experiment in a physics-based simulator with up to 1000 robots forming three different patterns. Our experiments reveal that the approach scales well with increasing robot numbers and presents little pattern distortion for a set of target moving shapes. We evaluate the approach on a physical swarm of robots that use visual inertial odometry to compute their relative positions and obtain results that are comparable with simulation. This work lays foundation for designing and coordinating configurable smart particles, with applications in smart materials and nanomedicine.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202600004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pre-Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding","authors":"Brandon Saldarriaga,&nbsp;Panagiotis Kalozoumis,&nbsp;Panagiotis Vartholomeos,&nbsp;Carlo Seneci,&nbsp;Kawal Rhode,&nbsp;Christos Bergeles","doi":"10.1002/aisy.202501468","DOIUrl":"https://doi.org/10.1002/aisy.202501468","url":null,"abstract":"<p>Tip-growing everting robots, or vine robots, extend by everting body material from their tail towards the tip, enabling navigation within confined and delicate environments. Achieving controlled preprogrammed curvature growth without external actuation remains challenging. This work presents a fabrication and characterisation framework for curvature-programmed low-density polyethylene (LDPE) sheaths produced via bilateral air-assisted CO<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$_2$</annotation>\u0000 </semantics></math> laser welding with integrated cutting. Weld-cut offset and LDPE film orientation are optimised first to ensure geometric precision while maintaining weld integrity. Sheaths with designed central angles from 15<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mo>°</mo>\u0000 </mrow>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$^{circ }$</annotation>\u0000 </semantics></math> to 60<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mo>°</mo>\u0000 </mrow>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$^{circ }$</annotation>\u0000 </semantics></math> are then fabricated and evaluated over repeated eversion cycles. Quantitative image analysis and finite element modelling (FEM) show consistent curvature generation with angle-dependent deviations: shallower geometries slightly undercurve, while tighter designs marginally overcurve, exhibiting improved repeatability and reduced variance at higher bends. Eversion pressure decreases with eversion cycles yet remains well below the burst threshold, confirming operational safety. A feasibility demonstration navigation through the aortic arch into the brachiocephalic branch illustrates the potential applicability of the method in anatomically relevant geometries. These results provide experimentally grounded design and manufacturing guidelines for reliable curvature programming into everting robots and demonstrate the manufacturing approach's ability to embed passive steering intelligence within their structures.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Front Cover: A Memristor-Based In-Memory Computing System-on-Chip with Efficient Depthwise Convolution (Adv. Intell. Syst. 9/2026)","authors":"Wenhao Song,&nbsp;Fuxi Cai,&nbsp;Sangsu Park,&nbsp;Zhaoyan Li,&nbsp;Seonghun Lee,&nbsp;Mingyi Rao,&nbsp;Woohyung Choi,&nbsp;Seungin Shin,&nbsp;Yan Zhu,&nbsp;Sujin Chae,&nbsp;Myoungsub Kim,&nbsp;Mingche Wu,&nbsp;Hyejung Choi,&nbsp;Yuan Dao,&nbsp;Jaeyun Yi,&nbsp;Youngman Cho,&nbsp;Seon Yong Cha,&nbsp;Ning Ge,&nbsp;Qiangfei Xia,&nbsp;Soo Gil Kim,&nbsp;Miao Hu,&nbsp;J. Joshua Yang","doi":"10.1002/aisy.70509","DOIUrl":"https://doi.org/10.1002/aisy.70509","url":null,"abstract":"<p><b>Human Detection in RRAM</b></p><p>The cover image illustrates human detection using an in-memory computing system-on-chip that monolithically integrates memristor (RRAM) arrays with CMOS. A dedicated depthwise convolution architecture enables efficient visual processing, delivering compact, low-power machine vision for hardware AI accelerators. More details can be found in the Research Article by Soo Gil Kim, Miao Hu, J. Joshua Yang, and co-workers (DOI: 10.1002/aisy.202501225).\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70509","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implantation-On-Chip: An AI-Based Platform for Monitoring the Embryo Trophoblast–Endometrial Stroma Cross Talk With Xenobiotics Interference","authors":"Joanna Filippi,&nbsp;Valentina Lacconi,&nbsp;Arianna Mencattini,&nbsp;Micol Massimiani,&nbsp;Dolores Lobresca,&nbsp;Gaia Posanzini,&nbsp;Alessia Riccardi,&nbsp;Paola Casti,&nbsp;Michele D’Orazio,&nbsp;Gianni Antonelli,&nbsp;Giorgia Curci,&nbsp;Luisa Campagnolo,&nbsp;Eugenio Martinelli","doi":"10.1002/aisy.202500755","DOIUrl":"https://doi.org/10.1002/aisy.202500755","url":null,"abstract":"<p>Human embryo implantation is a complex and finely regulated process relying on dynamiccross talk between maternal and fetal tissues. Understanding these interactions is essential for identifying the underlying causes of implantation failure or abnormal placentation. However, traditional endpoint analyses often miss transient or subtle cellular behaviors critical to this process. To overcome these limitations, we present a novel AI-integrated platform that enables continuous, in situ monitoring of early implantation events with high spatiotemporal resolution. Central to our approach is a cost-effective, rapidly prototyped implantation-on-chip (IOC) device that mimics the maternal–fetal interface using a 3D culture of human endometrial stromal cells and a 2D layer of trophoblast cells. By integrating time-lapse microscopy with advanced algorithms, our system allows automated tracking and quantification of trophoblast migration and invasion dynamics. To demonstrate the utility of this platform, we investigated the impact of nanoparticles (TiO₂NPs and ZnONPs) on implantation-like behavior and observed significant alterations in trophoblast migration and invasion rates. Gene-expression analyses showed that nanoparticles modulate IL-6, IL-1β, and its receptor IL-1R in stromal cells, enhancing pro-inflammatory signaling and potentially affecting implantation-like processes. Altogether, these findings highlight the potential of our IOC system as a tool for studying implantation mechanisms and evaluating external influences on early pregnancy.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202500755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells","authors":"Simon Holzer,&nbsp;Chaimae Bahou,&nbsp;Noe Syfrig,&nbsp;Katia Monastyrskaya,&nbsp;Yoan Civet,&nbsp;Ali Hashemi Gheinani,&nbsp;Yves Perriard","doi":"10.1002/aisy.70455","DOIUrl":"https://doi.org/10.1002/aisy.70455","url":null,"abstract":"<p>Mechanical forces are central to regulating cell health, yet reproducing such forces in vitro remains challenging. Existing systems are bulky, limited in design, or unsuitable for long-term use. Dielectric elastomer actuators (DEAs) offer a soft and flexible alternative capable of delivering controlled mechanical strain, but concerns remain that the high voltages required for actuation might harm cells through electric field exposure. Here, we systematically evaluate DEA-based cell stretchers using human bladder cell line TEU-2, comparing them with a commercial motor-driven stretcher and a nondeforming dielectric polymer actuator that isolates electrical from mechanical effects. Across multiple assays, DEA stimulation preserved cell viability and morphology without inducing DNA damage, apoptosis, necrosis, or cell-cycle disruption. Furthermore, comet assays, flow cytometry, and quantitative gene expression analysis confirmed the absence of genotoxicity and stress responses. Instead, DEA actuation triggered transcriptional changes consistent with physiological mechanotransduction, highlighting its functional relevance. Our findings establish DEAs as a safe and effective platform for long-term mechanostimulation. While demonstrated in bladder-derived cells, the approach is broadly applicable to diverse biological models where mechanical cues are critical. This work expands the technological foundation for physiologically relevant in vitro systems, supporting advances in tissue engineering, disease modeling, and personalized medicine.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70455","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Omnidirectional Shape Proprioception for Untethered Shape Memory Alloy-Driven Soft Robotic Arms","authors":"Yiming Ouyang,&nbsp;Zelin Chen,&nbsp;He Chen,&nbsp;Min Xu,&nbsp;Hao Yang,&nbsp;Wei Gao,&nbsp;Hu Jin,&nbsp;Shiwu Zhang","doi":"10.1002/aisy.70464","DOIUrl":"https://doi.org/10.1002/aisy.70464","url":null,"abstract":"<p>Soft robotic arms (SRAs) featuring high flexibility and adaptability exhibit great opportunities in unstructured environments, making them an ideal manifestation of embodied intelligence. However, the lack of stable proprioception and integrated structural design limits their real-world applications. In this article, we propose a lightweight, modular shape memory alloy (SMA) driven SRA, integrated with a multi-Hall-magnet sensing system for accurate shape proprioception, while remaining untethered. Each segment is approximately 35 g in weight, allowing for easy assembly in series and seamless integration into complex systems. An omnidirectional shape proprioception method with self-correction is presented, and it maintains high perception accuracy even under pronounced nonconstant-curvature deformations. The results demonstrate a mean tip position error of approximately 1.39 mm in a single segment and a mean shape error of approximately 0.81% in the multisegment SRA. Experiments, including unstructured environment detection, pipeline navigation, and outdoor cooperation with a quadrotor drone, validate the robust performance of the sensing and actuation systems in real-world conditions. The results demonstrate that the precise shape perception and modular integration enable SRAs to achieve strong application performance, further facilitating the practical deployment in real-world scenarios.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70464","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inside Back Cover: Cooptimized Sensing and Sole Mechanics Enable Embodied-Intelligence Design of User-Specific Smart Footwear (Adv. Intell. Syst. 9/2026)","authors":"Fengyu Zhong,&nbsp;Marco Pontin,&nbsp;Amy Zavatsky,&nbsp;Perla Maiolino","doi":"10.1002/aisy.70511","DOIUrl":"https://doi.org/10.1002/aisy.70511","url":null,"abstract":"<p><b>Wearable Systems</b></p><p>This work presents a 3D-printed wearable plantar-pressure sensing shoe that integrates lattice structures with pneumatic air chambers. Incorporating the principle of embodied intelligence, the lattice geometry is tuned to shape chamber deformation and sensor response, enabling user-specific customization of both sensing and mechanical properties. The device supports in-shoe plantar-pressure monitoring for gait analysis. More details can be found in the Research Article by Perla Maiolino and co-workers (DOI: 10.1002/aisy.70452).\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 9","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}