查看更多>>摘要：Micro/nanorobots (MNRs) capable of per forming tasks at the micro-and nanoscale hold great promise for applications in cutting-edge fields such as biomedical engineering, environmental engineering, and microfabrication. However, the design and manufacturing of high-performance MNRs with complex multi-material three-dimensional structures at the micro-and nanoscale pose significant challenges that cannot be addressed by conventional s erial design strategies and single-process manufacturing methods. The material-interface-structure-function/performance coupled design methods and the additive/ formative/subtractive composite manufacturing (AFS-CM) methods off er an opportunity to design and manufacture MNRs with multi-materials and comple x structures under multi-factor coupling, thus paving the way for the developmen t of high-performance MNRs.
查看更多>>摘要：Researchers detail new data in Robotic s -Robotics and Automation. According to news reporting originating in Rennes, France, by NewsRx journalists, research stated, "In this letter, we consider pos itioning in congested space within the framework of sensor-based control using v ision and proximity sensors." Financial support for this research came from BPI France Lichie project. The news reporters obtained a quote from the research from the University of Ren nes, "Vision acts as primary sensing modality for performing the positioning tas k, while proximity sensors complement it by ensuring that the robotic platform d oes not collide with objects in the workspace. Sensor information is combined in a shared manner using the QP formalism where ideas from safety-critical control are used to express inequality constraints." According to the news reporters, the research concluded: "The proposed method is validated through various real experiments."
查看更多>>摘要：A new study on Machine Learning is now available. According to news reporting out of Nanjing, People's Republic of Chi na, by NewsRx editors, research stated, "Petroleum hydrocarbon (PHC) contaminati on in soils is considered one of the most serious problems currently, of which t he detection and identification is a fairly significant but challenging work. Co nventional methods to do such work usually need complex sample pretreatment, con sume much time and fail to do the in-situ detection." Funders for this research include National Natural Science Foundation of China ( NSFC), Qinglan Project of Jiangsu Province. Our news journalists obtained a quote from the research from the Nanjing Univers ity of Information Science and Technology (NUIST), "This paper set out to create a novel systematic methodology to realize the goals accurately and efficiently. Based on laser-induced breakdown spectroscopy (LIBS) and selfimproved machine learning methods, the innovative methodology only uses extremely simple devices to do the real-time in situ detection and identification work and even realize t he quantitative analysis of pollution level accurately. In the study, clean soil s mixed with petroleum were served as polluted samples, clean soils to be the bl ank group for comparison. Based on the elemental information from the spectra ob tained by LIBS, machine learning methods were improved and helped optimized the algorithm to identify the PHC polluted soil samples for the first time. Furtherm ore, a novel model was designed to perform the quantitative analysis of the conc entration of PHC pollution in soils, which can be applied to detect the degree o f PHC contamination in soils accurately. Finally, the harmful volatile component of the PHC polluted soils was also successfully and identified despite its extr emely minimal content in the air."
查看更多>>摘要：New study results on artificial intell igence have been published. According to news originating from Potsdam, Germany, by NewsRx correspondents, research stated, "Missing data and class imbalance hi nder the accurate prediction of rare events such as dairy mastitis. Resampling a nd imputation are employed to handle these problems." Financial supporters for this research include Federal Office of Agriculture And Food. The news journalists obtained a quote from the research from Leibniz Institute f or Agricultural Engineering and Bioeconomy: "These methods are often used arbitr arily, despite their profound impact on prediction due to changes caused to the data structure. We hypothesize that their use affects the performance of ML mode ls fitted to automated milking systems (AMSs) data for mastitis prediction. We c ompare three imputations-simple imputer (SI), multiple imputer (MICE) and linear interpolation (LI)-and three resampling techniques: Synthetic Minority Oversamp ling Technique (SMOTE), Support Vector Machine SMOTE (SVMSMOTE) and SMOTE with E dited Nearest Neighbors (SMOTEEN). The classifiers were logistic regression (LR) , multilayer perceptron (MLP), decision tree (DT) and random forest (RF). We eva luated them with various metrics and compared models with the kappa score. A com plete case analysis fitted the RF (0.78) better than other models, for which SI performed best."
查看更多>>摘要：Current study results on Robotics have been published. According to news reporting out of Harbin, People's Republic of China, by NewsRx editors, research stated, "Accurate online estimation of the p ayload parameters benefits robot control. In the existing approaches, however, o n the one hand, only the linear friction model was used for online payload ident ification, which reduced the online estimation accuracy." Financial supporters for this research include National Key R&D Pro gram of China, National Natural Science Foundation of China (NSFC), Pre-research Task of State Key Laboratory of Robotics and Systems (HIT). Our news journalists obtained a quote from the research from the Harbin Institut e of Technology, "On the other hand, the estimation models contain much noise be cause of using actual joint trajectory signals. In this article, a new estimatio n algorithm based on parameter difference for the payload dynamics is proposed. This method uses a nonlinear friction model for the online payload estimation in stead of the traditionally linear one. In addition, it considers the commanded j oint trajectory signals as the computation input to reduce the model noise. The main contribution of this article is to derive a symbolic relationship between t he parameter difference and the payload parameters and then apply it to the onli ne payload estimation. The robot base parameters without payload were identified offline and regarded as the prior information. The one with payload can be solv ed online by the recursive least squares method. The dynamics of the payload can be then solved online based on the numerical difference of the two parameter se ts. Finally, experimental comparisons and a manual guidance application experime nt are shown."
查看更多>>摘要：Data detailed on Robotics -Robotics a nd Automation have been presented. According to news reporting out of Tianjin, P eople's Republic of China, by NewsRx editors, research stated, "Ultrasound sensi ng-based human-machine interface (HMI) is promising with the precise detection o f the morphological changes of contracting muscles. M-mode ultrasound, a type of signal modulated through movement, has not yet been fully explored for HMI." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Tianjin University, "This letter aimed to evaluate the capability of M-mode ultrasound for the cont inuous movement estimation of wrist joint. A commercial medical ultrasound syste m was employed to collect M-mode and B-mode ultrasound images simultaneously. Si x able-bodied subjects were recruited for the wrist joint angle prediction. A fe ature extraction method of M-mode ultrasound was proposed. A strong linear relat ionship was found between the extracted features and the wrist joint angle. A li near regression model was adopted to compare the performance of two ultrasound m odes under two different training strategies. The model was trained with trainin g sets of different scales and complexity levels. For different training strateg ies, the M-mode ultrasound consistently kept the correlation coefficient (r) of over 0.9 and the normalized root mean square error (NRMSE) of below 0.15. Moreov er, the M-mode ultrasound significantly outperformed B-mode ultrasound in the tw o training strategies."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsCurrent study results on Robotics have been publi shed. According to news reporting from Tamil Nadu, India, by NewsRx journalists, research stated, "Robots find extensive applications in industry. In recent yea rs, the influence of robots has also increased rapidly in domestic scenarios." The news correspondents obtained a quote from the research from Mepco Schlenk En gineering College, "The Q-learning algorithm aims to maximise the reward for rea ching the goal. This paper proposes a modified version of the Q-learning algorit hm, known as Q-learning with scaled distance metric (Q -SD). This algorithm enh ances task learning and makes task completion more meaningful. A robotic manipul ator (agent) applies the Q -SD algorithm to the task of table cleaning. Using Q -SD, the agent acquires the sequence of steps necessary to accomplish the task while minimising the manipulator's movement distance. We partition the table in to grids of different dimensions. The first has a grid count of 3 x 3, and the s econd has a grid count of 4 x 4. Using the Q -SD algorithm, the maximum success obtained in these two environments was 86% and 59% respectively."
查看更多>>摘要：Data detailed on Robotics -Robotics a nd Automation have been presented. According to news reporting originating from Edgbaston, United Kingdom, by NewsRx correspondents, research stated, "In this l etter, we address the problem of task-informed grasping in scenarios where only incomplete or partial object information is available. Existing methods, which e ither focus on task-aware grasping or grasping under partiality, typically requi re extensive data and long training durations." Financial supporters for this research include Engineering & Physi cal Sciences Research Council (EPSRC), CHIST-ERA. Our news editors obtained a quote from the research from the University of Birmi ngham, "In contrast, we propose a one-shot task-informed methodology that enable s the transfer of grasps computed for a stored object model in the database to a nother object of the same category that is partially perceived. Our method lever ages the reconstructed shapes from Gaussian Process Implicit Surfaces (GPIS) and employs the Functional Maps (FM) framework to transfer task-specific grasping f unctions. By defining task functions on the objects' manifolds and incorporating an uncertainty metric from GPIS, our approach provides a robust solution for pa rt-specific and task-oriented grasping."
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Kuala Lumpur, M alaysia, by NewsRx editors, research stated, "The purpose of this qualitative st udy was to empower the young Chinese fans on social media through artificial int elligence (as virtual influencers) to control their body image. The study aimed to investigate fans' opinions, experiences, and obstacles in relation to body im age perception, acceptance and satisfaction through in-depth interviews with 21 informants." Our news journalists obtained a quote from the research from the University of M alaya, "Based on the interview questions and research aims and objectives, a tot al of 11 themes were formulated to perform the thematic analysis. According to t he findings, fan involvement, social media use, and exposure to idealized body i deals of virtual influencers had an impact on body image perceptions and among C hinese young female fans. The findings also highlighted the relevance of social support and positive fan groups in fostering body image satisfaction. This study 's theoretical and practical implications add to the current literature by shedd ing light on the complex interplay between virtual celebrity, fan practices, soc ial media and body image satisfaction. The study emphasizes the importance of fo cused interventions and support networks that meet the specific issues that Chin ese young female fans experience in maintaining the confidence for embracing hea lthy body image."
查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting from Singapore, Singapore, by NewsRx journal ists, research stated, "Planning scan routes with prior knowledge can improve sc an data quality and completeness. This paper presents a BIM-enabled approach to optimize quadruped robot navigation for automated 3D scanning." Funders for this research include Ministry of Education Singapore under the Acad emic Research Fund Tier 1, National Natural Science Foundation of China (NSFC), China Scholarship Council, Key Laboratory of Geospace Environment and Geodesy, M inistry of Education, Wuhan University. The news correspondents obtained a quote from the research from the National Uni versity of Singapore, "The BIM data schema is enriched with IndoorGML, integrati ng building geometry with spatial data to establish an indoor navigation model d escribing multi-scale spatial topological networks. This navigation model, which includes an enhanced greedy algorithm, optimizes quadruped robot scanning posit ions and traversal sequences. The scan planning optimization outperforms existin g heuristic algorithms in computational efficiency, coverage, and scan point cou nt. The BIM-enabled approach is validated on ROS and in real-world conditions wi th a 3D LiDAR sensor integrated with a quadruped robot. The robotic scans achiev e visible coverage of 70 -90% of the structure, with a fluctuatio n of 0.006 -0.021 mm compared to traditional laser scans."
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