查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of Milano, Italy, by NewsRx editors, res earch stated, “Bioinspired walking hexapod robots are a relatively young branch of robotics.” Our news reporters obtained a quote from the research from Polytechnic Universit y Milan: “Despite the high degree of flexibility and adaptability derived from t heir redundant design, open-source implementations do not fully utilize this pot ential. This paper proposes an exhaustive description of a hexapod robot-specifi c control architecture based on open-source code that allows for complete contro l over a robot’s speed, body orientation, and walk gait type. Furthermore, terra in interaction is deeply investigated, leading to the development of a terrain-a dapting control algorithm that allows the robot to react swiftly to the terrain shape and asperities, such as non-linearities and non-continuity within the work space. For this purpose, a dynamic model derived from interpreting the hexapod m ovement is presented and validated through a Matlab SimMechanicsTM simulation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to news reporting from Singapore, Singapo re, by NewsRx journalists, research stated, “Identifying and preventing patients who are not likely to benefit long-term from total knee arthroplasty (TKA) woul d decrease healthcare expenditure significantly. We trained machine learning (ML ) models (image-only, clinical-data only, and multimodal) among 5720 knee OA pat ients to predict postoperative dissatisfaction at 2 years.” The news correspondents obtained a quote from the research from the National Uni versity of Singapore, “Dissatisfaction was defined as not achieving a minimal cl inically important difference in postoperative Knee Society knee and function sc ores (KSS), Short Form-36 Health Survey [SF-36, divided into a physical component score (PCS) and mental component score (MCS)] , and Oxford Knee Score (OKS). Compared to image-only models, both clinical-data only and multimodal models achieved superior performance at predicting dissatis faction measured by AUC, clinical-data only model: KSS 0.888 (0.866-0.909), SF-P CS 0.836 (0.812-0.860), SF-MCS 0.833 (0.812-0.854), and OKS 0.806 (0.753-0.859); multimodal model: KSS 0.891 (0.870-0.911), SF-PCS 0.832 (0.808-0.857), SF-MCS 0 .835 (0.811-0.856), and OKS 0.816 (0.768-0.863).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Patt ern Recognition and Artificial Intelligence is now available. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journal ists, research stated, “Scene text detection is a challenging topic in computer vision, characterized by complex illumination, irregular shape, and arbitrary si ze. While recent advancements have been made in scene text detection, it remains difficult to simultaneously distinguish nearby text and accommodate irregularly shaped text.” Financial support for this research came from Special Project for Research and D evelopment in Key areas of Guangdong Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from the University of Lubeck by NewsRx correspondents, research stated, “Access to large amounts of data is ess ential for successful machine learning research.” Financial supporters for this research include German Federal Ministry of Educat ion And Research; Polish Ministry of Science, Poland. The news editors obtained a quote from the research from University of Lubeck: “ However, there is insufficient data for many applications, as data collection is often challenging and time-consuming. The same applies to automated pain recogn ition, where algorithms aim to learn associations between a level of pain and be havioural or physiological responses. Although machine learning models have show n promise in improving the current gold standard of pain monitoring (self-report s) only a handful of datasets are freely accessible to researchers. This paper p resents the PainMonit Dataset for automated pain detection using physiological d ata. The dataset consists of two parts, as pain can be perceived differently dep ending on its underlying cause. (1) Pain was triggered by heat stimuli in an exp erimental study during which nine physiological sensor modalities (BVP, 2 x EDA, skin temperature, ECG, EMG, IBI, HR, respiration) were recorded from 55 healthy subjects.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating from Grenoble, France, by NewsRx cor respondents, research stated, “Various approaches and structures emerged recentl y to design continuum robots. One of the most promising designs regards a new co ncept of continuum concentric push-pull robots (CPPRs) that have the characteris tic of combining several key advantages of tendon actuated, multi-backbone, and concentric tube ones (direct curvature actuation, small outer/inner diameter rat io, free lumen, etc.).” Financial support for this research came from Agence Nationale de la Recherche ( ANR). Our news editors obtained a quote from the research from the University of Greno ble-Alpes, “Geometrically-exact models of such recently introduced robots are ye t to be developed to gain leverage of their full potential. This article extends beyond usual definitions of Cosserat rod theory in order to take into account t his new type of continuum robots, constituted by sliding rods, in a shape of tub es whose cross-sections are neither uniform nor symmetrical along their entire l ength. The introduced model is capable of considering versatile design options, external loads, 3D deformations, an arbitrary number of tubes and profiles of th e centroid lines, as well as a new actuation method consisting of an input rotat ion.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news originating from Annapolis, Maryland, by NewsRx corresponde nts, research stated, “This paper presents a decentralized, cooperative, real-ti me avoidance control strategy for robotic manipulators. The proposed avoidance c ontrol law builds on the concepts of artificial potential field functions and pr ovides tighter bounds on the minimum safe distance when compared to traditional potential-based controllers.” Funders for this research include Office of Naval Research, Office of Naval Rese arch.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Aberdeen, United Kingdom, b y NewsRx editors, research stated, “Degradation of coatings and structural mater ials due to high temperature corrosion in the presence of molten salt environmen t is a major concern for critical infrastructure applications to meet its commer cial viability. The choice of high value coatings and structural (construction p arts) materials comes with challenges, and therefore data centric approach may a ccelerate change in discovery and data practices.” Financial supporters for this research include Henry Royce Institute, Henry Royc e Institute via Materials Challenge Accelerator Programme, UK’s National Nuclear Laboratory (NNL), Engineering & Physical Sciences Research Counci l (EPSRC), ScotGov’s Emerging Energy Transition Fund (EETF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Androids. According to news reporting from Columbia, South Carolina, by NewsRx journalists, research stated, “The lack of transparency in AI-related technology poses challenges in identifying elements that influence conversation fluency with chatbot. Drawing from media richness, task-technology fit, and flow theories, we propose an integrated framework to investigate how chatbots’ human oid characteristics affect users’ process fluency.” The news correspondents obtained a quote from the research from the University o f South Carolina, “Furthermore, we explore boundary conditions of dialogue chara cteristics, including conversation types (topic-related vs. task-related) and in teraction mechanisms (free-text vs. button-based) that amplify or disrupt such f low-like experience in conversation. Two separate scenario-based experimental st udies were conducted to explore two chatbot humanoid characteristics, human-like cues (Study 1) and tailored responses (Study 2). Results suggest that a match b etween chatbot’s humanoid and dialogue characteristics can increase fluency in c omprehending the message, enhancing customer satisfaction and usage intention. S pecifically, chatbots with humanoid conversational cues promote more flow-like m essages in topic-related conversation or free-text interaction.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machine s is the subject of a report. According to news reporting from Nanchang, People’ s Republic of China, by NewsRx journalists, research stated, “Over several years , the evaluation of polytomous attributes in small-sample settings has posed a c hallenge to the application of cognitive diagnosis models. To enhance classifica tion precision, the support vector machine (SVM) was introduced for estimating p olytomous attribution, given its proven feasibility for dichotomous cases.” The news correspondents obtained a quote from the research from Jiangxi Normal U niversity, “Two simulation studies and an empirical study assessed the impact of various factors on SVM classification performance, including training sample si ze, attribute structures, guessing/slipping levels, number of attributes, number of attribute levels, and number of items. The results indicated that SVM outper formed the pG-DINA model in classification accuracy under dependent attribute st ructures and small sample sizes. SVM performance improved with an increased numb er of items but declined with higher guessing/slipping levels, more attributes, and more attribute levels.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on intelligent systems are presented in a new report. According to news reporting out of Zhengzhou, People’ s Republic of China, by NewsRx editors, research stated, “In the field of tradit ional landscape painting and art image restoration, traditional restoration meth ods have gradually revealed limitations with the development of society and tech nological progress.” Our news journalists obtained a quote from the research from Zhengzhou Normal Un iversity: “In order to enhance the restoration effects of Chinese landscape pain tings, an innovative image restoration algorithm is designed in this research, c ombining edge restoration with generative adversarial networks (GANs). Simultane ously, a novel image restoration model with embedded multi-scale attention dilat ed convolution is proposed to enhance the modeling capability for details and te xtures in landscape paintings. To better preserve the structural features of art istic images, a structural information-guided art image restoration model is int roduced. The introduction of adversarial networks into the repair model can impr ove the repair effect. The art image repair model adds a multi-scale attention m echanism to handle more complex works of art. The research results show that the image detection model improves by 0.20, 0.07, and 0.06 in the Spearman rank cor relation coefficient, Pearson correlation coefficient, and peak signal-to-noise ratio (PSNR), respectively, compared to other models.”
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