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

{"title":"ParamNet: A Physics-Guided Deep Learning Framework for Intelligent Self-Inversion of Vacuum Optical Levitation Systems","authors":"Qi Zheng,&nbsp;Wenfeng Fan,&nbsp;Feng Li,&nbsp;Jian Wu,&nbsp;Wei Quan","doi":"10.1002/aisy.70427","DOIUrl":"https://doi.org/10.1002/aisy.70427","url":null,"abstract":"<p>Optical tweezers have become a pivotal tool in fundamental physics, precision metrology, and macroscopic quantum phenomena, enabling precise manipulation of microparticles. Accurate calibration of optical traps, specifically the trap stiffness <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>κ</mi>\u0000 </mrow>\u0000 <annotation>$kappa$</annotation>\u0000 </semantics></math> and viscous damping coefficient <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>γ</mi>\u0000 </mrow>\u0000 <annotation>$gamma$</annotation>\u0000 </semantics></math>, is essential for precise force measurements and particle manipulation in quantitative experiments. In this article, we introduce ParamNet, a physics-guided deep learning framework for parameter inversion in vacuum optical tweezers, combining data-driven feature learning with model-based constraints for fast, accurate calibration. ParamNet employs a dual-branch time–frequency architecture that extracts complementary features from time-domain trajectories and frequency-domain representations, facilitating efficient information fusion and improved calibration accuracy. The network achieves a mean absolute percentage error of approximately 3% for <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>κ</mi>\u0000 </mrow>\u0000 <annotation>$kappa$</annotation>\u0000 </semantics></math> and 7% for <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>γ</mi>\u0000 </mrow>\u0000 <annotation>$gamma$</annotation>\u0000 </semantics></math> under simulated scenarios, using short windows of 100 samples (0.01 s), outperforming traditional methods in simulation and experiments. Validation results show that ParamNet provides a compact and transferable framework for intelligent self-inversion of vacuum optical tweezers. It reduces the reliance on long-duration or high-rate calibration data and shows potential for digital-twin-style monitoring and feedback-oriented adaptive control of levitated systems.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719272","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":"Explainable AI-Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses","authors":"Sein Kim,&nbsp;Hamin Shim,&nbsp;Maesoon Im","doi":"10.1002/aisy.202501360","DOIUrl":"https://doi.org/10.1002/aisy.202501360","url":null,"abstract":"<p>Retinal prostheses using electrical stimulation are developed to restore partial visual function perception in blind individuals, enabling object and large-character recognition. These devices capture visual scenes via a camera, process them, and stimulate the remaining retinal neurons through an implanted microelectrode array, eventually eliciting percepts known as “phosphenes”. However, unintended current spread among electrodes remains a significant challenge, leading to blurred and/or distorted percepts. Therefore, optimizing the spatial activation patterns is critical for enhancing visual resolution and reducing power consumption. In this study, we introduce a novel application of explainable artificial intelligence (XAI) to optimize electrode activation patterns in retinal prostheses. XAI-driven phosphene generation prioritizes visually informative regions while suppressing less relevant areas, enabling more efficient stimulation, while reducing the total current usage without compromising object recognition accuracy. To replace labor-intensive psychophysical testing, deep learning models evaluate the recognition performance of different XAI-informed stimulation methods. Our findings reveal that XAI-driven activation patterns consistently achieve higher energy efficiency than conventional grayscale-based electrode mapping without compromising recognition performance. Moreover, XAI provides interpretable maps of electrode engagement, facilitating clinical understanding and personalized stimulation strategies. These results highlight the potential of XAI to enhance the efficiency, interpretability, and functional outcomes of next-generation retinal prosthetic systems.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501360","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719210","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":"Diatom-Inspired 1D Immobile Robots Capable of 2D Collective Mobility","authors":"Tianyi Hu,&nbsp;Yunjia Zhang,&nbsp;Chu Qiao,&nbsp;Tingrui Zhang,&nbsp;Shuguang Li","doi":"10.1002/aisy.202501506","DOIUrl":"https://doi.org/10.1002/aisy.202501506","url":null,"abstract":"<p>Many robotic systems can exhibit self-organized collective behaviors similar to those of natural swarms. Some of these systems achieve coordination by enhancing individual intelligence or enabling explicit communication. In contrast, others consist of highly simplified modules capable of only basic sensing and physical interactions. Indeed, the former type faces challenges in manufacturing, modeling, and controlling the swarms, while the latter is usually incapable of complex collective tasks. Here, we present a diatom-inspired robotic colony that explores group coordination through limited physical interactions. The modules in the colony, BarBots, possess neither individual mobility nor explicit communication capabilities, yet they can exhibit collective behaviors by sliding along their neighbors. We model the relationship between individual and group patterns, enabling the completion of designed collective behaviors. BarBots can also automatically assign actuation phases across a colony using simple light-sensing abilities, promoting light-stimulated self-organization and object manipulation. These findings indicate the feasibility of tuning groups of simple robotic individuals for robust planned motions and collective behaviors.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501506","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719273","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":"Correction to “GraphNeuralCloth: A Graph-Neural-Network-Based Framework for Non-Skinning Cloth Simulation”","authors":"","doi":"10.1002/aisy.70441","DOIUrl":"https://doi.org/10.1002/aisy.70441","url":null,"abstract":"<p>Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam-Yim Sze, Ka-Wai Kwok, Adv. Intell. Syst., 2026, 8:4, e202501120. https://doi.org/10.1002/aisy.202501120</p><p>Unfortunately the typesetter removed the funding information from the submitted material and the article was published without this below ‘Acknowledgments’:</p><p>This work was supported in part by the Centre for Garment Production Ltd. funded by the Innovation and Technology Commission (ITC), Hong Kong, via AIR@InnoHK cluster, and also in part by the Research Grants Council (RGC) of Hong Kong under Grant, C4026-21G, STG1/E-401/23-N, AoE/E-407/24-N, 17204124, 17210023, and 17209021.</p><p>We apologize for this error.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70441","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719351","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 Front Cover: Explainable AI-Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses (Adv. Intell. Syst. 8/2026)","authors":"Sein Kim,&nbsp;Hamin Shim,&nbsp;Maesoon Im","doi":"10.1002/aisy.70481","DOIUrl":"https://doi.org/10.1002/aisy.70481","url":null,"abstract":"<p><b>Explainable Artificial Intelligence Artificial Vision</b></p><p>This cover illustrates explainable AI-driven optimization in retinal prostheses, where salient visual features are selectively emphasized to generate efficient phosphene patterns. By reducing redundant electrode activation, the proposed approach preserves object recognition while significantly lowering power consumption, advancing interpretable and energy-efficient artificial vision. More details can be found in the Research Article by Maesoon Im and co-workers (DOI: 10.1002/aisy.202501360).\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 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70481","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719197","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":"Lidar-Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure","authors":"Simon Schäfer,&nbsp;Bassam Alrifaee,&nbsp;Ehsan Hashemi","doi":"10.1002/aisy.202501102","DOIUrl":"https://doi.org/10.1002/aisy.202501102","url":null,"abstract":"<p>This paper presents a lidar-only state estimation and tracking framework, along with a roadside sensing unit for integration with existing urban infrastructure. Urban deployments demand scalable, real-time tracking solutions, yet traditional remote sensing remains costly and computationally intensive, especially under perceptually degraded conditions. Our sensor node couples a single lidar with an edge computing unit and runs a computationally efficient, GPU-free observer that simultaneously estimates object state, class, dimensions, and existence probability. The pipeline performs (i) state updates via an extended Kalman filter, (ii) dimension estimation using a 1D grid map/Bayesian update, (iii) class updates via a lookup table driven by the most probable object footprint, and (iv) existence estimation from track age and bounding box consistency. Experiments in dynamic urban-like scenes with an instrumented passenger vehicle and additional road users demonstrate real-time performance. Quantitative tracking accuracy is reported for the vehicle, while detection and classification performance are evaluated across all 48 annotated tracks. The complete end-to-end pipeline finishes within 100 ms for 99.88% of messages, with an excellent detection rate. Robustness is further confirmed under simulated wind-induced sensor vibration. These results indicate that reliable, real-time roadside tracking is feasible on CPU-only edge hardware, enabling scalable, privacy-friendly deployments within existing city infrastructure. The framework integrates with existing poles, traffic lights, and buildings, reducing deployment costs and simplifying large-scale urban rollouts and maintenance efforts.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719324","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":"Towards Advanced Intelligent and Perceptive Soft Grippers","authors":"Haneul Kim,&nbsp;Hayeon Shin,&nbsp;Seik Park,&nbsp;Changbeom Shim,&nbsp;Seonggun Joe","doi":"10.1002/aisy.202501459","DOIUrl":"https://doi.org/10.1002/aisy.202501459","url":null,"abstract":"<p>Over the last decade, soft robots have expanded the boundaries of robotic horizons, showing strong potential in mimicking the true nature of living organisms as well as addressing real-world problems that conventional rigid-bodied robots have not achieved. At the heart of these successes are innovative and creative solutions in designing soft gripper bodies and seamlessly integrating actuated systems with hierarchical sensing. Among the possible scenarios that soft robots could aim at, versatile and dexterous grasping and manipulation have been intensively studied, leading researchers, engineers, and scientists to explore multidisciplinary solutions, from material science, mechanical and electrical engineering, and computer science. Herein, achieving both desired mechanical performances (i.e. highly compliant yet strength), and versatile functionality in grasping remain dreaming tasks that many of roboticists desire. In parallel, given that multimodal grasping via morphological computation—where actuation, sensing, and control are well distributed along the soft body—has been conceived as emerging research topics, this comprehensive study aims to provide a comparative analysis of design principles, actuated systems, and sensing strategies, highlighting deep insights and exploring feasible solutions to break through bottlenecks and remaining open challenges in creating totally new intelligent soft machines that can actively interact with environment.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202501459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719340","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":"BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models","authors":"Huiyu Duan,&nbsp;Kang Fu,&nbsp;Sijing Wu,&nbsp;Yunhao Li,&nbsp;Zicheng Zhang,&nbsp;Qiang Hu,&nbsp;Xiongkuo Min,&nbsp;Guangtao Zhai","doi":"10.1002/aisy.202500504","DOIUrl":"https://doi.org/10.1002/aisy.202500504","url":null,"abstract":"<p>Metaverse has been widely studied in recent years, which aims to build a richer, more interactive, and more integrated digital layer on top of reality. As a fundamental and important 3D representation of metaverse, point clouds have gained significant attention recently and have been applied to many applications. However, assessing the quality of point clouds remains a significant challenge, particularly in scenes involving complex geometries or textures. To this end, this study presents a <span>b</span>ioinspired <span>m</span>etaverse <span>p</span>oint <span>c</span>loud <span>q</span>uality <span>a</span>ssessment (BMPCQA) metric, which simulates the human visual evaluation process to perform the point cloud quality assessment (PCQA) task. Specifically, inspired by local–global perception characteristics of biological visual systems, this study first extracts rendering projection video features, normal image features, and point cloud patch features. Then, these extracted high-level semantic features and low-level geometric features are fed into a large multimodal model to achieve biological-like knowledge feature integration. Extensive experiments on standard PCQA datasets demonstrate that this study's method significantly outperforms existing traditional and learning-based metrics, correlating more closely with human subjective evaluations. This work paves the way for perceptually aligned and scalable point cloud quality assessment in next-generation virtual environments. The proposed BMPCQA model is available at: https://github.com/IntMeGroup/BMPCQA.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 7","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202500504","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148532832","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 Neuromorphic Simulation Framework for Indium-Gallium-Zinc-Oxide Charge-Trap Synaptic Transistors: From Device Modeling to System Simulation","authors":"Yumin Yun,&nbsp;Junhyeong Park,&nbsp;Sunyeol Bae,&nbsp;Chae-Hwan Park,&nbsp;Dong Hyeon Lee,&nbsp;Soo-Yeon Lee","doi":"10.1002/aisy.70374","DOIUrl":"https://doi.org/10.1002/aisy.70374","url":null,"abstract":"<p>Neuromorphic computing, especially spiking neural networks (SNNs), has emerged as a promising next-generation architecture due to its event-driven nature and capability to emulate the computational structure of the human brain. Among its core components, indium-gallium-zinc-oxide (IGZO)-based synaptic transistors have attracted significant attention owing to their ultra-low leakage current and low-temperature fabrication processes. However, most existing studies have focused on device-level characterization, leaving a realistic gap between experimental device behaviors and system-level evaluation in large-scale arrays. This work proposes a comprehensive framework that bridges device fabrication, mechanism-based modeling, and system-level simulation. A precise SPICE model based on fabricated IGZO charge-trap synaptic transistors is developed to perform array simulations incorporating parasitic RC loads. As a result, the feasibility of the system was evaluated through SNN simulation. This systematic integration from device to system provides a novel foundation for advancing IGZO-based neuromorphic computing technologies.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"8 7","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70374","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148532447","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: A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy (Adv. Intell. Syst. 7/2026)","authors":"Hakjoon Lee,&nbsp;Xiao Dong,&nbsp;Dong-in Kim,&nbsp;A. M. Masum Bulbul Chowdhury,&nbsp;Nader Latifi Gharamaleki,&nbsp;Jin-young Kim,&nbsp;Sung Won Youn,&nbsp;Hongsoo Choi","doi":"10.1002/aisy.70445","DOIUrl":"https://doi.org/10.1002/aisy.70445","url":null,"abstract":"<p><b>Steerable and Expandable Magnetic Aspiration Catheter</b></p><p>This image presents a steerable and expandable magnetic aspiration catheter that navigates tortuous cerebral vessels and dynamically expands its distal tip via external magnetic fields, maximizing clot contact and aspiration force to advance robotic stroke intervention. More details can be found in the Research Article by Hongsoo Choi and co-workers (DOI: 10.1002/aisy.202500834).\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 7","pages":""},"PeriodicalIF":6.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148533972","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}