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

Deep-Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label-Free 3D Immune-Cell Morphology in the Cerebrospinal Fluid 基于脑脊液无标记三维免疫细胞形态学的中枢神经系统感染诊断和预后深度学习模型

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI: 10.1002/aisy.70005

Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park

引用次数: 0

Regulating Airflow Using Hybrid LCN for Soft Pneumatic Circuits 用混合LCN调节软气动回路的气流

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI: 10.1002/aisy.70006

Elif Kurt, Youssef M. Golestani, Efstathios Barmpoutsis, Sergio Picella, Robin L. B. Selinger, Johannes T. B. Overvelde, Danqing Liu

引用次数: 0

Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers 具有光响应液晶弹性体的时空控制软机器人

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI: 10.1002/aisy.70007

Elizabeth R. Blackert, Phoebe Scaccia, Morgan Barnes, Taniya M. S. K. Pathiranage, Rafael Verduzco, Vaibhav Unhelkar, Hanyu Zhu

引用次数: 0

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding 深度学习驱动的稳健触觉感知：桥接石墨烯电子皮肤和动态解码

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI: 10.1002/aisy.70004

Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong

引用次数: 0

Hot-Plugging Logic-Enabled Valves 热插拔逻辑启用阀门

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-06-17 DOI: 10.1002/aisy.70012

Jing Xu, Seung Hee Jeong, Klas Hjort

引用次数: 0

A Robotic Prosthetic Hand for Computer Mouse Operations 用于电脑鼠标操作的机械假手

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-20 DOI: 10.1002/aisy.202570023

Ziming Chen, Yiming He, Boao Li, Huasong Min, Fuchun Sun, Shuguang Li, Bin Fang

引用次数: 0

A Physics-Informed Neural Network as a Digital Twin of Optically Turbid Media 一个物理信息神经网络作为光浑浊介质的数字孪生体

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-20 DOI: 10.1002/aisy.202570024

Mohammadrahim Kazemzadeh, Liam Collard, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello

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引用次数: 0

Monolithic Desktop Digital Fabrication of Autonomous Walking Robots 自主行走机器人的单片桌面数字化制造

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2025-05-20 DOI: 10.1002/aisy.202570027

Yichen Zhai, Jiayao Yan, Albert De Boer, Martin Faber, Rohini Gupta, Michael T. Tolley

引用次数: 0

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 6.8

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":"https://doi.org/10.1002/aisy.202570026","url":null,"abstract":"<p><b>Unlocking Dynamic Subtle Stimuli Tactile Perception</b>\u0000 </p><p>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><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 5","pages":""},"PeriodicalIF":6.8,"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

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 6.8

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":"https://doi.org/10.1002/aisy.202400463","url":null,"abstract":"<p>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.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 6","pages":""},"PeriodicalIF":6.8,"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