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：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：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."
查看更多>>摘要：Researchers detail new data in Robotic s. According to news reporting originating in Melbourne, Australia, by NewsRx jo urnalists, research stated, "Robotic additive manufacturing using a cold spray d eposition head attached to a robotic arm can deposit material in a solid state w ith deposition rates in kilogrammes per hour. Under such a high deposition rate, the complicated interplay between the robot's motion, gun standoff distance, sp ray angle, overlapping, and the interaction of supersonic powder particles with a growing structure could cause overabundance or deficiency of material build-up ." Financial supporters for this research include Commonwealth Scientific & Industrial Research Organisation (CSIRO), RMIT University, Australia, RMIT-CSIRO Masters by Research Scholarship Program, Commonwealth Scientific & Industrial Research Organisation (CSIRO).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsInvestigators publish new report on artificial in telligence. According to news reporting originating from Andhra Pradesh, India, by NewsRx correspondents, research stated, "In environments rich in data, machin e learning models often encounter challenges such as data sparsity and overfitti ng, primarily due to datasets with an excessive number of features." The news journalists obtained a quote from the research from VIT-AP University: "To address these issues, this paper introduces a novel feature selection method employing a Memetic Algorithm (MA) enhanced with a fuzzy fitness function. This method is articulated in three variations: the Fuzzy Fitness Memetic Algorithm with Tabu Search (FFMATS), the Fuzzy Fitness Memetic Algorithm with Hill Climbin g (FFMAHC), and a hybrid that combines both techniques, each utilizing specific local search strategies to refine feature selection. When tested across 16 UCI d atasets using four different classifiers, these algorithms not only demonstrated competitive accuracy but frequently outperformed existing methods."
查看更多>>摘要：New research on Machine Learning -Rob otics and Artificial Intelligence is the subject of a report. According to news reporting out of Heraklion, Greece, by NewsRx editors, research stated, "Soft pn eumatic actuators (SPAs) play a pivotal role in soft robotics due to their uniqu e characteristics of compliance, flexibility, and adaptability. There are plenty of approaches that examine the modeling parameters of SPAs, aiming to optimize their design and, thus, achieve the most advantageous responses." Our news journalists obtained a quote from the research from Hellenic Mediterran ean University, "Current optimization methods applied to SPAs are usually perfor med individually for each design parameter without considering the simultaneous effect all parameters can have on the output performance. This modeling shortcom ing is essential to be addressed since customized SPAs are used in a variety of applications, each with different output requirements. This study provides a gen eralized design optimization framework for modeling the SPA performance for thei r motion profiles, the produced strain energy while being deformed, and their st iffness characteristics. Utilizing experimentally validated finite element metho ds, all geometrical and material parameters of the models are investigated in re sponse surface methodology optimization using the central composite design appro ach. The results showcase the entire design space of omnidirectional SPAs, along with their output performance, providing guidelines to the end user for design optimization."
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news originating from Campinas, Braz il, by NewsRx correspondents, research stated, "This research maps the evolution of artificial intelligence (AI) policy and its scientific underpinnings." Financial supporters for this research include Fundacao De Amparo A Pesquisa Do Estado De Sao Paulo. The news editors obtained a quote from the research from State University of Cam pinas (UNICAMP): "First, we analyzed the global AI policy landscape using the Ov erton policy documents database, which comprises millions of policy documents. F indings reveal a substantial increase in AI policy documents since 2018, with th e USA, European Union (EU), and intergovernmental organizations leading policy development efforts. We also analyzed the scientific articles referenced within t hese policies. The USA stood out as a central hub in the production and funding of AI research, with other Global North countries playing a notable role alongsi de China."
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