Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)最新文献_第7页

Perspectives on Intelligence in Soft Robotics

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-29 DOI: 10.1002/aisy.202400294

Vera Gesina Kortman, Barbara Mazzolai, Aimeé Sakes, Jovana Jovanova

{"title":"Perspectives on Intelligence in Soft Robotics","authors":"Vera Gesina Kortman, Barbara Mazzolai, Aimeé Sakes, Jovana Jovanova","doi":"10.1002/aisy.202400294","DOIUrl":"https://doi.org/10.1002/aisy.202400294","url":null,"abstract":"Engineers frequently aim to streamline environmental factors to facilitate the effective operation of robots. However, in nature, environmental considerations play a crucial role in shaping the embodiment of organisms. To comply robots with the complexity of real-world environments, embedding similar intelligence is key. In the field of soft robotics, various approaches offer insight into how intelligence can be integrated into artificial agents. A discussed topic is the intricate relationship between the brain and the body at the core of intelligence in robots. The goal of this article is, therefore, to unravel the strategies to implement different types of intelligence currently adopted in soft robots. A classification is made by making a distinction between agents that adapt to their environment by 1) their adaptive shape, 2) their adaptive functionality, and 3) their adaptive mechanics. Additionally, the perspectives on intelligence based on their computational approach are distinguished: centralized computation, decentralized computation, or embedded computation. It is concluded that a tailored robotic design approach attuned to specific environmental demands is needed. To unlock the full potential of soft robots, a fresh perspective on embodied intelligence is described, so-called mechanical intelligence, emphasizing the robot's responsiveness to changing external conditions of a real-world environment.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400294","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120687","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

Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways 通过运动和特征通路的神经元间协调实现复杂动态视觉场景中的隐蔽检测

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-25 DOI: 10.1002/aisy.202470041

Bo Gu, Jianfeng Feng, Zhuoyi Song

引用次数: 0

Reconfigurable Transparent Variable-Stiffness Soft Robot for Underwater Operations 用于水下作业的可重构透明变刚度软机器人

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-25 DOI: 10.1002/aisy.202470040

Qin Fang, Jingyu Zhang, Pingyu Xiang, Nenggan Zheng, Yue Wang, Rong Xiong, Zhefeng Gong, Haojian Lu

引用次数: 0

Tactile Sensing and Grasping Through Thin-Shell Buckling 通过薄壳弯曲实现触觉传感和抓取功能

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-25 DOI: 10.1002/aisy.202470044

Kieran Barvenik, Zachary Coogan, Gabriele Librandi, Matteo Pezzulla, Eleonora Tubaldi

引用次数: 0

Remotely Controlled 3D-Engineered Scaffolds for Biomimetic In Vitro Investigations on Brain Cell Cocultures 遥控三维工程支架用于仿生脑细胞体外培养研究

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-25 DOI: 10.1002/aisy.202470043

Daniele De Pasquale, Attilio Marino, Carlotta Pucci, Omar Tricinci, Carlo Filippeschi, Pietro Fiaschi, Edoardo Sinibaldi, Gianni Ciofani

引用次数: 0

Employing Deep Neural Networks and High-Throughput Computing for the Recognition and Prediction of Vein-Like Structures

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-24 DOI: 10.1002/aisy.202400260

Junbo Niu, Zhiyu Chi, Feilong Wang, Bin Miao, Jiaxu Guo, ZhiFeng Ding, Yin He, XinXin Ma

{"title":"Employing Deep Neural Networks and High-Throughput Computing for the Recognition and Prediction of Vein-Like Structures","authors":"Junbo Niu, Zhiyu Chi, Feilong Wang, Bin Miao, Jiaxu Guo, ZhiFeng Ding, Yin He, XinXin Ma","doi":"10.1002/aisy.202400260","DOIUrl":"https://doi.org/10.1002/aisy.202400260","url":null,"abstract":"In this investigation, convolutional neural networks (CNNs) are leveraged to engineer a simple segmentation and recognition algorithm specialized for the delineation of complex, network-like morphologies—often termed “vein-like structures (VLSs)”—in scanning electron microscopy (SEM) imagery. These intricate formations frequently appear during the nitriding treatment of medium- to high-carbon alloy steels. To navigate the multifaceted characteristics of such architectures, CNN-based methodologies are synergized with high-throughput thermodynamic computations via Thermo-Calc. This integration aims to quantify both the theoretical upper bounds and the actual values of the VLSs. By establishing deep neural network models for both theoretical upper bounds and actual measurements, the gap between thermodynamics and thermokinetics in the nitriding process is bridged. Applying this amalgamated predictive schema to 8Cr4Mo4V steel, a groundbreaking departure from conventional paradigms that exclusively depend on thermodynamic calculation-based diffusion models is effectuated. The emergent model yields transformative implications for the metallurgical sector, paving the way for the refinement of future nitriding algorithms and enhancements in nitriding methodologies.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"6 12","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400260","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253198","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

Cross-Institutional Prediction System for Estimating Patient-Specific Organ Dose from Chest CT Scans without Segmenting Internal Organs

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-23 DOI: 10.1002/aisy.202400357

Wencheng Shao, Zhenfa Wan, Ke Yang, Xin Lin, Liangyong Qu, Weihai Zhuo, Haikuan Liu

{"title":"Cross-Institutional Prediction System for Estimating Patient-Specific Organ Dose from Chest CT Scans without Segmenting Internal Organs","authors":"Wencheng Shao, Zhenfa Wan, Ke Yang, Xin Lin, Liangyong Qu, Weihai Zhuo, Haikuan Liu","doi":"10.1002/aisy.202400357","DOIUrl":"https://doi.org/10.1002/aisy.202400357","url":null,"abstract":"This study aims to establish and validate a cross-institutional prediction system for estimating patient-specific organ doses from chest CT scans. By collaborating across multiple institutions, the study seeks to develop models that allow rapid online estimation of organ doses, eliminating the need for complex organ segmentation. Researchers delineate skin outlines from chest CT images obtained from two different institutions. Radiomics features are extracted from the chest CT data and skin contours. Organ doses are computed using Monte Carlo simulations as reference organ doses. Single- and cross-institutional support vector regression (SVR) models are trained with radiomics features to predict organ doses from chest CT scans. Model performance is assessed using metrics like maean absolute percentage error (MAPE) and R-squared (R2). For chest organs (lungs, heart, spinal cord, trachea, and esophagus), single-institutional SVR models achieve MAPE values ranging from 4.72% to 15.31% and R2 values from 0.73 to 0.93. Cross-institutional models have MAPE values in the range of 2.16–7.49% and R2 values from 0.84 to 0.99. SVR models trained with radiomics features from skin outlines can reliably estimate organ doses from chest CT scans. The proposed method is applicable across different institutions, and cross-institutional models enhance predictive accuracy, generality, and robustness.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400357","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424249","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

Soft Micropneumatic Touchpad

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-23 DOI: 10.1002/aisy.202400381

Vilma Lampinen, Mika Pihlajamäki, Anastasia Koivikko, Veikko Sariola

{"title":"Soft Micropneumatic Touchpad","authors":"Vilma Lampinen, Mika Pihlajamäki, Anastasia Koivikko, Veikko Sariola","doi":"10.1002/aisy.202400381","DOIUrl":"https://doi.org/10.1002/aisy.202400381","url":null,"abstract":"Soft tactile sensors outputting fluidic signals have many potential applications in soft microfluidic devices and soft robots. However, existing systems have been limited to a single or a few sensors in parallel, so they are not comparable to the state-of-the-art electrical resistive and capacitive touchpads, which can detect rich tactile information, including touch location, pressure, area, and even multiple touches simultaneously. This work reports a soft micropneumatic touchpad. The touchpad consists of 32 pneumatic channels inside soft elastomer, with 16 channels aligned row-wise and 16 column-wise. The flow resistance of each channel is measured using a pressure divider. When the pad is touched, the cross-sectional area of the channels close to the contact location deforms, which changes the flow resistance of those channels. With 32 sensing channels, the location, depth, area of the contact, and even two simultaneous touches can be detected. Letters hand-written on the touchpad can be reconstructed from the measured data. With the assumption of sparsity, a tactile pressure map, with a value at each 16 × 16 grid point, can also be reconstructed. This work opens a path to replace electronic tactile sensors in soft devices with all-fluidic alternatives.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400381","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424250","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 PDMS/Silicon Adhesion Control Method at Millimeter-Scale Based on Microvibration

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-23 DOI: 10.1002/aisy.202400394

Jiawei Yi, Wissem Haouas, Michaël Gauthier, Kanty Rabenorosoa

{"title":"A PDMS/Silicon Adhesion Control Method at Millimeter-Scale Based on Microvibration","authors":"Jiawei Yi, Wissem Haouas, Michaël Gauthier, Kanty Rabenorosoa","doi":"10.1002/aisy.202400394","DOIUrl":"https://doi.org/10.1002/aisy.202400394","url":null,"abstract":"Switchable surface adhesion at a small scale is crucial for robot end-effector design, allowing the manipulation of small objects such as semiconductors, optical lenses, and precision mechanical parts. In this work, a detailed characterization of a millimeter-scale (1–5 mm) adhesion modulation method is performed, demonstrating its effectiveness for switching adhesion on small, lightweight objects with smooth surfaces. This modulation phenomenon arises from the viscoelastic behavior when PDMS interacts with a rigid surface and is controlled via microvibration. A maximum apparent adhesion enhancement of 2400% and a reduction of 50% are achieved with a 1 mm-diameter PDMS hemisphere vibrating at a 30 μm amplitude and a 700 Hz frequency. The effects of different parameters, including size, actuation amplitude/frequency, surface roughness, and material properties, on adhesion performance are carefully measured and analyzed. A monotonic increase in maximum adhesion is observed with increased device size and surface smoothness, while nonlinear relationships of other factors are generalized with a numerical model. A long working lifespan and high endurance are also observed during the characterization. This work serves as a practical reference for the further design of small-scale soft grippers, highlighting its continuous, large modulation range, simple structure, and flexible control.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400394","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424251","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

Force Measurement Technology of Vision-Based Tactile Sensor

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-23 DOI: 10.1002/aisy.202400290

Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

{"title":"Force Measurement Technology of Vision-Based Tactile Sensor","authors":"Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang","doi":"10.1002/aisy.202400290","DOIUrl":"https://doi.org/10.1002/aisy.202400290","url":null,"abstract":"Marker-type vision-based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high-precision and multimodal force information to promote robotic dexterous manipulation development. Considering VTS's contribution to force measurement, this article reviews the advanced force measurement technologies of VTSs. First, the working principle of marker-type VTSs is introduced, including single-layer markers, double-layer markers, color coding, and optical flow. Then, the relationship between the marker type and the category of force measurement is discussed in detail. On this basis, the process of marker feature extraction is summarized, including image processing and marker-matching technologies. According to the learning approach, force measurement methods are classified into physical and deep learning models. Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. Finally, the difficulties and challenges are analyzed, and future developments are proposed. This review aims to deepen understanding of the research progress and applications and provide a reference for the research community to promote technology generations in related fields.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400290","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118488","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