Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)最新文献_第5页

Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response 触觉感知：一种深度学习增强的快速响应超分辨率触觉传感器阵列

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-20 DOI: 10.1002/aisy.202570026

Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang

{"title":"Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response","authors":"Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang","doi":"10.1002/aisy.202570026","DOIUrl":"10.1002/aisy.202570026","url":null,"abstract":"Unlocking Dynamic Subtle Stimuli Tactile Perception\u0000 A lightweight and fast-moving ping pong ball bounces on our designed flexible tactile sensor array, whose topology is optimally designed to maximize the sensing area with a minimal number of sensors. When the ball contacts the sensor array surface, three adjacent tactile sensors are activated, and 23-channel tactile data are transmitted to a super-resolution localization model. Beneath the sensor array is the graph convolutional neural network-based super-resolution model, designed based on the sensor array’s topological structure. This network effectively infers the contact position by extracting spatiotemporal features from the data, where the localization process and the generation of virtual tactile elements (taxels) are performed at the lowest layer. The combination of a well-optimized array topology and a super-resolution algorithm introduces virtual taxels into the physical tactile sensor array, ultimately achieving super-resolution localization. In the background, numerous sensor units are used to pave the area, further illustrating the sensor’s structure and its scalability. More details can be found in article number 2400913 by Geng Yang and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture>\u0000 </div>\u0000 </figure>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 5","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100804","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}

引用次数: 0

A Magnetically Transformable Twisting Millirobot for Cargo Delivery at Low Reynolds Number 一种用于低雷诺数下货物运输的可磁变形扭转微机器人

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-19 DOI: 10.1002/aisy.202401028

Moonkwang Jeong, Jiyuan Tian, Meng Zhang, Tian Qiu

{"title":"A Magnetically Transformable Twisting Millirobot for Cargo Delivery at Low Reynolds Number","authors":"Moonkwang Jeong, Jiyuan Tian, Meng Zhang, Tian Qiu","doi":"10.1002/aisy.202401028","DOIUrl":"10.1002/aisy.202401028","url":null,"abstract":"Inspired by bacteria flagella, miniature robots often use a helical shape to propel themselves in fluids at low Reynolds numbers. The helical microstructures in the robots are often rigid and are made by advanced 3D micro-/nanofabrication techniques. However, it remains challenging to fabricate these 3D helical structures without complicated machinery. Herein, for the first time, a magnetically transformable millirobot—TwistBot—with a flexible body that can transform from a simple flat ribbon to a helical shape under an applied magnetic field is reported, enabling its propulsion in viscous fluids. The robot's twisting is modeled using numerical simulation and its geometry is optimized to maximize the twist angle. The unique shape transformation not only allows the propulsion through narrow lumens but also facilitates TwistBot in carrying and delivering solid cargo successfully to the target. The concept of the TwistBot opens new opportunities in designing soft transformable minirobots for targeted cargo delivery.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202401028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881026","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}

引用次数: 0

Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot-Induced Elastography 振动微机器人诱导弹性成像的微创肠癌检测

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-19 DOI: 10.1002/aisy.202400926

Andrew Bickerdike, Jiyuan Tian, Yang Liu, Shyam Prasad

引用次数: 0

Adaptive Fractional Hybrid Impedance Control of Rotary Series Elastic Actuator in Flat Terrains 旋转串联弹性作动器在平坦地形中的自适应分数混合阻抗控制

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-13 DOI: 10.1002/aisy.202400463

Muhammed Özdemir, Zafer Bingül

{"title":"Adaptive Fractional Hybrid Impedance Control of Rotary Series Elastic Actuator in Flat Terrains","authors":"Muhammed Özdemir, Zafer Bingül","doi":"10.1002/aisy.202400463","DOIUrl":"10.1002/aisy.202400463","url":null,"abstract":"This study presents a novel control approach, called adaptive fractional hybrid impedance control (AFH-IC), for rotary series elastic actuators (RSEAs) operating in flat terrains, such as solid floors (hard), carpet (medium), and grass (soft). The main objective is to develop a high-sensitivity torque and position control system capable of handling various motion trajectories, including sudden hard changes. Unlike traditional impedance control methods, AFH-IC, which is enhanced with fractional-order control and an adaptive fuzzy algorithm, is designed to eliminate torque errors in time-varying stiffness environments. The fractional parameters of the AFH-IC are optimized using particle swarm optimization for each terrain under different constraints. A custom-designed RSEA is utilized in both simulations and experiments. The proposed control structure demonstrates superior performance compared to conventional methods such as fractional hybrid impedance control and hybrid impedance control. The results confirm that AFH-IC significantly enhances force-tracking accuracy and robustness in real-world applications.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 6","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400463","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309067","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}

引用次数: 0

Self-Rhythmic Soft Pneumatic Pressure Regulation System Based on Self-Excited Oscillation of Jet Hose 基于射流软管自激振荡的气动自节奏软压力调节系统

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-11 DOI: 10.1002/aisy.202401003

Fenglin Han, Huang Xiong, Qixin Li, Jing Yang, Chunli He, Xueyi Guo, Zhi Chen

{"title":"Self-Rhythmic Soft Pneumatic Pressure Regulation System Based on Self-Excited Oscillation of Jet Hose","authors":"Fenglin Han, Huang Xiong, Qixin Li, Jing Yang, Chunli He, Xueyi Guo, Zhi Chen","doi":"10.1002/aisy.202401003","DOIUrl":"10.1002/aisy.202401003","url":null,"abstract":"Most of pneumatic soft robots rely on external rigid controllers and valves to achieve rhythmic movements. This article introduces a soft pneumatic pressure regulation system with self-rhythmic characteristics and simple structure. In this system, the hose generates self-excited oscillations due to jet force, which realizes the transformation of constant pressure to periodically varying pressure. This mechanism allows soft robots to perform rhythmic movements. A mathematical model is developed to describe the self-excited oscillations of the jet hose. Numerical simulations are conducted to analyze the impact of various parameters on system oscillations. The system operates under pressures from 90 to 150 kPa. By adjusting the pressure, hose length, and jet hole diameter, the oscillation frequency of the pressure can be tuned between 5.9 and 11.1 Hz. The comparison between simulation results and experimental data verifies the correctness of the mathematical model. Finally, a soft robot capable of crawling based on anisotropic friction is designed and fabricated. Powered solely by the soft pneumatic pressure regulation system, the robot achieves self-rhythmic crawling. By adjusting the air source pressure, hose length, and jet hole diameter, the robot's crawling speed can be effectively controlled, ranging from 2.5 to 6.8 mm s−1.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202401003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881141","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}

引用次数: 0

Classification of Pulmonary Nodules Using Multimodal Feature-Driven Graph Convolutional Networks with Specificity Proficiency 基于多模态特征驱动图卷积网络的肺结节分类

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-11 DOI: 10.1002/aisy.202400874

Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li

{"title":"Classification of Pulmonary Nodules Using Multimodal Feature-Driven Graph Convolutional Networks with Specificity Proficiency","authors":"Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li","doi":"10.1002/aisy.202400874","DOIUrl":"10.1002/aisy.202400874","url":null,"abstract":"Graph neural networks could compare the difference among all samples (nodes in graph) and transmit the interrelationship among them to obtain a global landscape. Compared with radiomics and clinical feature-based machine learning methods, whether a graph convolutional neural network (GCNN) based on radiomics and clinical features improve the performance in distinguishing benign and malignant pulmonary nodules is not well studied. We propose an approach based on multimodal GCNNs that integrates patients’ lung computed tomography images with clinical information to differentiate between benign and malignant pulmonary nodules. Leveraging large-scale and multisource data from multiple hospitals (i.e., 6033/290/524 patients for three hospitals respectively) enhances the diversity of features. Accuracy, sensitivity, specificity, precision, and area under the receiver operating characteristic curve (AUROC) are used to evaluate the performance. We achieved the average accuracy/sensitivity/specificity/AUROC of 0.8612/0.9425/0.6786/0.9025 for the main dataset via the novel GCNN proposed, respectively, maintaining the robustness of the deep learning procedures. Especially for the external testing dataset (hospital 2/hospital 3), the specificity is much higher than comparison methods (0.6250–0.6731 vs. 0.2569–0.2788). The graph neural network-based deep learning method holds the potential to assist clinicians, aiding in treatment planning, patient management, follow-up strategies, resource optimization, and overall healthcare decision-making.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400874","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881140","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}

引用次数: 0

Nanomechanical Systems for Reservoir Computing Applications 储层计算应用的纳米力学系统

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-08 DOI: 10.1002/aisy.202400971

Enise Kartal, Yunus Selcuk, Humayun Ahmed, Batuhan E. Kaynak, M. Taha Yildiz, Ramazan Tufan Erdogan, Cenk Yanik, Mehmet Selim Hanay

{"title":"Nanomechanical Systems for Reservoir Computing Applications","authors":"Enise Kartal, Yunus Selcuk, Humayun Ahmed, Batuhan E. Kaynak, M. Taha Yildiz, Ramazan Tufan Erdogan, Cenk Yanik, Mehmet Selim Hanay","doi":"10.1002/aisy.202400971","DOIUrl":"10.1002/aisy.202400971","url":null,"abstract":"Reservoir computing (RC) provides a route to use physical systems for computation and machine learning. Owing to their inherent nonlinearity, nanomechanical systems constitute an interesting technology to serve as reservoir. While RC platforms are built using microelectromechanical systems, the energy efficiency, response time, and footprint of these systems can be significantly improved by using nanoscale devices. Herein, the use of nanoelectromechanical systems (NEMS) is investigated, which can be used in RC, utilizing inherent nonlinearities and the fading memory effect from the transient response of NEMS. The smaller size and higher operating frequencies of NEMS enable faster processing rates compared to micromechanical systems, while their compact footprint, low power consumption, and ability to operate under ambient conditions simplify integration into practical applications. In modified national institute of standards and technology (MNIST) handwritten digit–recognition test, this system achieves 90% accuracy with a 3.3 μs processing time per pixel. Also the effect of driving frequency and amplitude on NEMS classification accuracy is investigated using experiments and simulations and it is shown that no significant dependency in any of the parameters is observed. Herein, an estimate for energy consumption of core NEMS RC system on MNIST data is provided. These results highlight the potential for various applications that require efficient and fast information processing in resource-constrained environments.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400971","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881471","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}

引用次数: 0

Liquid Metal Sloshing for High-Load Active Self-Healing System: An Application to Tendon-Driven Legged Robot 高负荷主动自修复系统的液态金属晃动：在肌腱驱动腿式机器人上的应用

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-06 DOI: 10.1002/aisy.202500040

Shinsuke Nakashima, Kento Kawaharazuka, Yuya Nagamatsu, Koki Shinjo, Akihiro Miki, Yuki Asano, Yohei Kakiuchi, Kei Okada, Masayuki Inaba

{"title":"Liquid Metal Sloshing for High-Load Active Self-Healing System: An Application to Tendon-Driven Legged Robot","authors":"Shinsuke Nakashima, Kento Kawaharazuka, Yuya Nagamatsu, Koki Shinjo, Akihiro Miki, Yuki Asano, Yohei Kakiuchi, Kei Okada, Masayuki Inaba","doi":"10.1002/aisy.202500040","DOIUrl":"10.1002/aisy.202500040","url":null,"abstract":"Self-healing is a promising approach for damage management in high-load robot applications, such as legged robots. It is becoming a major function in soft robotics; however, its application to support heavyweight is relatively niche. Although previous studies has developed several self-healing tensile modules for tendon-driven robots, these modules suffered from deficient healing strength because of the formation of surface oxides. This study proposes a biomimetic approach to enhance self-healing performance. This approach exploits the motion of the robot to trigger the sloshing of liquid metal, which decomposes surface oxide. The method is validated using a benchtop module test, resulting in a healed strength of over tens of kilograms. Moreover, the module enables the tendon-driven monopod testbed to perform a squat motion 13 times after a landing impact fracture and self-healing sequence. The self-healing module does not break during or after the squatting motion. To the best of our knowledge, this is the first demonstration of active self-healing behavior using a life-sized legged robot. Thus, this study provides a novel approach in the field of self-healing robotics for improving self-healing, thus contributing to medical robot and mechatronic designs, including rehabilitation, surgical, and diagnostic robots.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 7","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202500040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681352","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}

引用次数: 0

Multi-Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation 基于VNet的视网膜成像多疾病检测与图像处理方法的数据生成

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-06 DOI: 10.1002/aisy.202401039

Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

引用次数: 0

Real-Time Hot-Rolled Coil Placement Recommendation System with Data-Driven Model 基于数据驱动模型的热轧卷板位置实时推荐系统

IF 6.1

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-06 DOI: 10.1002/aisy.202400826

Chihun Lee, Da Seul Shin, Youn Hee Kang, Kanghyouk Choi, Dong Yong Park, Junsuk Rho

{"title":"Real-Time Hot-Rolled Coil Placement Recommendation System with Data-Driven Model","authors":"Chihun Lee, Da Seul Shin, Youn Hee Kang, Kanghyouk Choi, Dong Yong Park, Junsuk Rho","doi":"10.1002/aisy.202400826","DOIUrl":"10.1002/aisy.202400826","url":null,"abstract":"Hot-rolled coils (HRCs) are essential in various industries, including automotive, construction, and machinery. However, the cooling process of HRCs in the yard tends to be nonuniform because of complex thermal interactions between adjacent coils and varying environmental conditions, which affect the mechanical properties and steel quality. In this study, we used simplified heat transfer models based on the finite element method (FEM) to generate realistic simulation data. We developed a novel management system that integrates two trained artificial neural networks with deep and wide networks using hyperparameter tuning to improve prediction speed, a known limitation of FEM. The system predicts temperature variations at multiple points on the coil, enabling strategic placement that minimizes temperature deviations and enhances cooling uniformity. This real-time computational approach eliminates the necessity for additional cooling equipment and ensures high product quality. The system's efficacy was validated through case studies, revealing dynamic adjustments and optimized placements. The proposed system achieved a mean absolute error of 3.44 and a mean absolute percentage error of 0.24%, outperforming conventional regression techniques. These results demonstrated the effectiveness of the system in simulating real-world cooling scenarios and its feasibility for real-time cooling optimization in steel manufacturing.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 8","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400826","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881133","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}

引用次数: 0