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 from Madrid, Spain, by NewsRx journalists, resea rch stated, “This work presents the analysis of the sampling and communication f requencies in a multi -robot system (MRS) and its effect over the temporal perfo rmance and computational load. The experimental system is composed of mobile rob ots (the Khepera IV), and a type of aerial robots, the Crazyflie 2.1.” Financial support for this research came from Agencia Estatal de Investigacion. The news correspondents obtained a quote from the research from the National Uni versity of Distance Education (UNED), “The analysis is performed for the formati on control of the MRS from initial conditions to a desired formation, which is d efined in terms of relative distances between agents. Three scenarios regarding the control architecture are evaluated: centralized, distributed in ROS 2, and d istributed onboard the robot. The minimum operating frequency for periodic sampl ing is determined, and an event -based sampling protocol is presented to reduce the number of transmitted messages.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Nanchan g, People’s Republic of China, by NewsRx editors, the research stated, “The latt ice Boltzmann method is employed in the current study to simulate the heat trans fer characteristics of sinusoidal-temperature-distributed heat sources at the bo ttom of a square cavity under various conditions, including different amplitudes , phase angles, initial positions, and angular velocities. Additionally, a machi ne learning-based model is developed to accurately predict the Nusselt number in such a sinusoidal temperature distribution of heat source at the bottom of a sq uare cavity.” Financial supporters for this research include Science And Technology Research P roject of Education Department of Jiangxi Province; Research Project of Nanchang Institute of Science And Technology.
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 Machine Learning. According to news reporting originating in Albuquerque, New Mexico, b y NewsRx journalists, research stated, “Effective habitat management for rare an d endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in t he analyses of habitat use by wildlife, the primary focus of these models has be en on generating spatial predictions.” Funders for this research include Canadian Wildlife Service, Crane Trust, United States Geological Survey, Platte River Recovery Implementation Program, Gulf Co ast Bird Observatory, International Crane Foundation, Parks Canada.
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 from Kunming, People’s Republic of China, by NewsRx journalists, research stated, “The 6-DOF Stewart parallel elevation plat form serves as the platform for mounting the tea-picking robotic arm, significan tly impacting the operational scope, velocity, and harvesting precision of the r obotic arm.” Funders for this research include Development And Demonstration of Intelligent A griculture Data Sensing Technology And Equipment in Plateau Mountainous Areas; S tudy of Yunnan Big Leaf Tea Tree Phenotypic Plasticity Characteristics Selection Mechanism Based on Ai-driven Data Fusion; Smart Tea Industry Technology Task of Menghai County, Yunnan Province.
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 Seville, Spain, by NewsRx editors, re search stated, “Mechanical systems subject to constraints play a essential role in the field of control engineering, profoundly influencing the design and perfo rmance of control strategies. Consequently, there is a compelling need to explor e diverse control methods to effectively tackle the complex task of stabilizing nonlinear systems while ensuring the constraints are not violated.” Funders for this research include European Research Council (ERC), PAIDI 2020 th rough the Project HOMPOT.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on data intelligence is t he subject of a new report. According to news reporting out of Sao Paulo, Brazil , by NewsRx editors, research stated, “ABSTRACT: Knowledge graphs are employed i n several tasks, such as question answering and recommendation systems, due to t heir ability to represent relationships between concepts.” The news reporters obtained a quote from the research from University of Sao Pau lo (USP): “Automatically constructing such a graphs, however, remains an unresol ved challenge within knowledge representation. To tackle this challenge, we prop ose CtxKG, a method specifically aimed at extracting knowledge graphs in a conte xt of limited resources in which the only input is a set of unstructured text do cuments. CtxKG is based on OpenIE (a relationship triple extraction method) and BERT (a language model) and contains four stages: the extraction of relationship triples directly from text; the identification of synonyms across triples; the merging of similar entities; and the building of bridges between knowledge graph s of different documents. Our method distinguishes itself from those in the curr ent literature (i) through its use of the parse tree to avoid the overlapping en tities produced by base implementations of OpenIE; and (ii) through its bridges, which create a connected network of graphs, overcoming a limitation similar met hods have of one isolated graph per document. We compare our method to two other s by generating graphs for movie articles from Wikipedia and contrasting them wi th benchmark graphs built from the OMDb movie database. Our results suggest that our method is able to improve multiple aspects of knowledge graph construction. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “This letter presents MA-NBCP , a novel hierarchical framework targeting autonomous exploration and inspection for high- DoF manipulators. MA-NBCP iteratively selects the manipulability-augme nted next-best-configuration for exploring unknown regions surrounding a manipul ator, while providing collision-avoidance guarantee.” Financial support for this research came from National Key Research and Developm ent Program.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Mepco S chlenk Engineering College by NewsRx correspondents, research stated, “In the co ntext of smart cities, ensuring road safety is crucial due to increasing urbaniz ation and the interconnected nature of contemporary urban environments. Leveragi ng innovative technologies is essential to mitigate risks and create safer commu nities.” The news reporters obtained a quote from the research from Mepco Schlenk Enginee ring College: “Thus, there is a compelling imperative to develop advanced soluti ons to enhance road safety within smart city frameworks. In this article, we int roduce a comprehensive vehicle safety framework tailored specifically for smart cities in the realm of Artificial Intelligence of Things (AIoT). This framework seamlessly integrates a variety of sensors, including eye blink, ultrasonic, and alcohol sensors, to bolster road safety. The utilization of eye blink sensor se rves to promptly detect potential hazards, alerting drivers through audible cues and thereby enhancing safety on smart city roads. Moreover, ultrasonic sensors provide real time information about surrounding vehicle speeds, thereby facilita ting smoother traffic flow. To address concerns related to alcohol consumption a nd its potential impact on road safety, our framework incorporates a specialized sensor that effectively monitors the driver’s alcohol levels. In instances of h igh alcohol content, the system utilizes GPS and GSM technology to automatically adjust the vehicle’s speed while simultaneously notifying pertinent authorities for prompt intervention. Additionally, our proposed system optimizes inter-vehi cle communication in smart cities by leveraging Li-Fi technology, enabling faste r and more efficient data transmission via visible light communication (VLC). Th e integration of Li-Fi enhances connectivity among connected vehicles, contribut ing to a more cohesive and intelligent urban transportation network.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting originating from Shanghai, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The existing design principles a nd screening strategies of superionic conductors predominantly focus on the pers pective of a static crystal structure. However, the dynamic mechanism involving anion rotational motion as well as its interaction with cation translational mot ion has received less exploration, especially in the realm of the accelerated di scovery of new fast ionic conductors with these strong dynamic couplings.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Materials Genome Ini tiative Center at Shanghai Jiao Tong University, Center for High Performance Com puting at Shanghai Jiao Tong University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Everett, Washington, by NewsRx journalists, research stated, “This study examines whether the match betw een customers and gendered service robot influences customer satisfaction toward s service robots, so-called gender (dis)match effect. Two experimental studies a re employed to test hypotheses using scenario-based online survey.” The news correspondents obtained a quote from the research from Washington State University, “Study 1 evidenced the gender (dis)match effect, supporting that fe male robots are favored by both male and female customers, while male robots are not preferred by female customers, which varies by the level of anthropomorphis m. Study 2 explores service failure situations, evidencing the gender (dis)match effect even after service failure. The research reveals that female robots are preferred by both female and male customers, which is moderated by the level of anthropomorphism. Such effect is also found to happen in both positive and failu re service encounters. Specifically, customers show a higher tolerance towards o pposite gender robots in a failure encounter.”
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