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

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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
{"title":"Remotely Controlled 3D-Engineered Scaffolds for Biomimetic In Vitro Investigations on Brain Cell Cocultures","authors":"Daniele De Pasquale,&nbsp;Attilio Marino,&nbsp;Carlotta Pucci,&nbsp;Omar Tricinci,&nbsp;Carlo Filippeschi,&nbsp;Pietro Fiaschi,&nbsp;Edoardo Sinibaldi,&nbsp;Gianni Ciofani","doi":"10.1002/aisy.202470043","DOIUrl":"https://doi.org/10.1002/aisy.202470043","url":null,"abstract":"<p><b>Magneto-Responsive Scaffolds for Biomimetic Investigations</b>\u0000 </p><p>In article number 2400261, Daniele De Pasquale, Edoardo Sinibaldi, Gianni Ciofani, and co-workers present geometrically engineered scaffolds fabricated with magneto-responsive materials, exploited for co-culturing glioma and healthy brain cells. The proposed structures are able to sustain 3D cultures and, thanks to the magnetic properties, allow their remote manipulation.\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":"6 9","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202470043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316869","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
Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label-Free Holographic Imaging Flow Cytometry 通过无标记全息成像流式细胞术对卵巢癌细胞进行临床智能分类
IF 6.8
Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-24 DOI: 10.1002/aisy.202400390
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro
{"title":"Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label-Free Holographic Imaging Flow Cytometry","authors":"Daniele Pirone,&nbsp;Beatrice Cavina,&nbsp;Daniele Gaetano Sirico,&nbsp;Martina Mugnano,&nbsp;Vittorio Bianco,&nbsp;Lisa Miccio,&nbsp;Anna Myriam Perrone,&nbsp;Anna Maria Porcelli,&nbsp;Giuseppe Gasparre,&nbsp;Ivana Kurelac,&nbsp;Pasquale Memmolo,&nbsp;Pietro Ferraro","doi":"10.1002/aisy.202400390","DOIUrl":"https://doi.org/10.1002/aisy.202400390","url":null,"abstract":"<p>Liquid biopsy, intended as the detection of circulating tumor cells (CTCs) in hematic specimens, is an emerging tool for both early cancer detection and estimation of prognosis. Herein, the strength of quantitative phase imaging (QPI) is investigated to achieve effective distinction of ovarian cancer (OC) from other blood cell populations based on label-free morphological biomarkers rather than conventional fluorescent imaging or other molecular parameters. At this purpose, QPI is implemented in high-throughput flow cytometry mode and combined with machine learning (ML), reliable and accurate OC cell phenotyping is achieved by developing <i>ad-hoc</i> multi-level ML classification architectures driven by a priori clinical information. It is shown that the latter allows increasing the overall classification accuracy when compared to noninformed ML classification systems. Thanks to its simplicity, the proposed intelligent system is compatible with various clinical applications, particularly in the context of CTC-based liquid biopsy during patient follow-up, when cancer subtype and other clinical information are already known.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","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.202400390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633120","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
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,&nbsp;Zhiyu Chi,&nbsp;Feilong Wang,&nbsp;Bin Miao,&nbsp;Jiaxu Guo,&nbsp;ZhiFeng Ding,&nbsp;Yin He,&nbsp;XinXin Ma","doi":"10.1002/aisy.202400260","DOIUrl":"https://doi.org/10.1002/aisy.202400260","url":null,"abstract":"<p>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.</p>","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
Smart Denture with Embedded Thin-Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare
IF 6.8
Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-23 DOI: 10.1002/aisy.202400484
Han Ku Nam, Yong Kwon Chae, Seoung-Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young-Jin Kim
{"title":"Smart Denture with Embedded Thin-Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare","authors":"Han Ku Nam,&nbsp;Yong Kwon Chae,&nbsp;Seoung-Jin Hong,&nbsp;Younggen Lee,&nbsp;Dongwook Yang,&nbsp;Byunggi Kim,&nbsp;Sang Wook Kang,&nbsp;Young-Jin Kim","doi":"10.1002/aisy.202400484","DOIUrl":"https://doi.org/10.1002/aisy.202400484","url":null,"abstract":"<p>\u0000Aging society is a global challenge, with increasing healthcare demands and associated social costs. Monitoring body temperature is crucial for early diagnosis and effective treatment of medical conditions, particularly in the elderly. Herein, a smart denture with embedded thin-film temperature sensors designed to monitor the body temperature in real-time is presented, which can be commonly worn by the elderly population for advanced healthcare. This device is realized using polymethyl methacrylate resin plates and dentures, which are routinely employed materials in dentistry for prosthesis fabrication. The thin-film temperature sensor is patterned using femtosecond laser pulses, ensuring high mechanical strength, high lateral resolution, and high-temperature sensitivity (0.26% °C<sup>−1</sup>). Furthermore, experiments conducted in a virtual intraoral wet environment demonstrate the sensor's capability to accurately measure the small temperature variation of 0.1 °C within a short timeframe. The integration of temperature sensors into dentures holds promise for enhancing patient monitoring and improving overall healthcare outcomes for the elderly population. The versatility of direct laser writing concept with femtosecond lasers will enable the implementation of various sensors, energy storage devices, and circuitries into dentures for advanced smart healthcare.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","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.202400484","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633088","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,&nbsp;Zhenfa Wan,&nbsp;Ke Yang,&nbsp;Xin Lin,&nbsp;Liangyong Qu,&nbsp;Weihai Zhuo,&nbsp;Haikuan Liu","doi":"10.1002/aisy.202400357","DOIUrl":"https://doi.org/10.1002/aisy.202400357","url":null,"abstract":"<p>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 <i>R</i>-squared (<i>R</i><sup>2</sup>). 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 <i>R</i><sup>2</sup> values from 0.73 to 0.93. Cross-institutional models have MAPE values in the range of 2.16–7.49% and <i>R</i><sup>2</sup> 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.</p>","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,&nbsp;Mika Pihlajamäki,&nbsp;Anastasia Koivikko,&nbsp;Veikko Sariola","doi":"10.1002/aisy.202400381","DOIUrl":"https://doi.org/10.1002/aisy.202400381","url":null,"abstract":"<p>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.</p>","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,&nbsp;Wissem Haouas,&nbsp;Michaël Gauthier,&nbsp;Kanty Rabenorosoa","doi":"10.1002/aisy.202400394","DOIUrl":"https://doi.org/10.1002/aisy.202400394","url":null,"abstract":"<p>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.</p>","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,&nbsp;Jie Zhao,&nbsp;Nailong Liu,&nbsp;Yuhao Sun,&nbsp;Shixin Zhang,&nbsp;Fuchun Sun,&nbsp;Jianhua Shan,&nbsp;Yiyong Yang","doi":"10.1002/aisy.202400290","DOIUrl":"https://doi.org/10.1002/aisy.202400290","url":null,"abstract":"<p>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.</p>","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
A Gecko-Inspired Robot Using Novel Variable-Stiffness Adhesive Paw Can Climb on Rough/Smooth Surfaces in Microgravity 受壁虎启发的机器人使用新型可变刚度粘合剂爪,可在微重力条件下在粗糙/光滑表面上攀爬
IF 6.8
Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-22 DOI: 10.1002/aisy.202400043
Zhiwei Yu, Xiaofeng Xu, Benhua Zhao, Jiahui Fu, Linfeng Wang, Zhouyi Wang, Chengguang Fan, Simon X. Yang, Aihong Ji
{"title":"A Gecko-Inspired Robot Using Novel Variable-Stiffness Adhesive Paw Can Climb on Rough/Smooth Surfaces in Microgravity","authors":"Zhiwei Yu,&nbsp;Xiaofeng Xu,&nbsp;Benhua Zhao,&nbsp;Jiahui Fu,&nbsp;Linfeng Wang,&nbsp;Zhouyi Wang,&nbsp;Chengguang Fan,&nbsp;Simon X. Yang,&nbsp;Aihong Ji","doi":"10.1002/aisy.202400043","DOIUrl":"https://doi.org/10.1002/aisy.202400043","url":null,"abstract":"<p>Space-wall-climbing robots face the challenge of stably attaching to and moving on spacecraft surfaces, which include smooth flat areas and rough intricate surfaces. Although adhesion-based wall-climbing robots demonstrate stable climbing on smooth surfaces in outer space, there is scarce research on their stable adhesion on rough surfaces within a microgravity environment. A novel adhesive material is developed inspired by the adhesion mechanism and locomotion of the <i>Gekko</i> gecko. This material exhibits exceptional adhesion across various materials and surface roughness. A variable-stiffness gecko-inspired paw is engineered, generating substantial adhesion forces while minimizing detachment forces. Impressively, this paw generates up to 180 N of adhesion force on smooth surfaces and achieves detachment without external forces. By integrating such variable-stiffness paws with a wall-climbing robot, a gecko-inspired robot effectively operating in a microgravity environment is created. The robotic satellite surface climbing experiments and robotic satellite capture experiments are conducted using a simulated microgravity environment and a satellite model. The results unequivocally demonstrate the gecko-inspired robot's proficiency in executing various functions, including stable motion and capture on both smooth and rough spacecraft surfaces within a microgravity environment. These experiments underscore the potential of adhesion-based gecko-inspired robots for in-orbit services and spacecraft capture and recovery.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"6 10","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443370","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
Bubbles Acting as Micro End-Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
IF 6.8
Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-19 DOI: 10.1002/aisy.202400486
Zichen Xu, Qingsong Xu
{"title":"Bubbles Acting as Micro End-Effectors for Dexterous Manipulation and Sensing in Aqueous Environment","authors":"Zichen Xu,&nbsp;Qingsong Xu","doi":"10.1002/aisy.202400486","DOIUrl":"https://doi.org/10.1002/aisy.202400486","url":null,"abstract":"<p>Achieving safe robotic manipulation at the microscopic scale usually requires sophisticated equipment, imposing accessibility difficulty in practice. Inspired by tiny bubbles in nature, a new paradigm is proposed for achieving multifunctional manipulation and sensing using microbubbles for biological application in aqueous environments at low cost. Without demanding the expensive cost of fabrication devices, bubbles with various sizes are easy to generate in situ, which is enabled by bubble-endowed interface interactions. It is demonstrated that bubbles acting as micro end-effectors rapidly and adaptively realize dexterous manipulation of microobjects such as biological organisms and droplets. They can function as microgrippers to grasp microobjects based on interface interaction-induced adhesion and act as soft micromanipulators to safely manipulate fragile objects. Moreover, the bubble micro end-effector can sense and perceive the designated objects for contact measurement of microforces or surface textures at a microscopic scale via the shape changes of their ultrasoft structures. The reported method successfully integrates grasping, manipulation, and measurement functions in liquid using a single microbubble of less than 1 mm<sup>3</sup> volume. These nondestructive functionalities showcase promising prospects for bubble-based micro end-effectors in biological manipulation and sensing applications.</p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 3","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400486","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632912","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
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