查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in symbolic computati on. According to news reporting originating from Celaya, Mexico, by NewsRx corre spondents, research stated, “This paper reports an application of the Lie algebr a s e ( 3 ) of the Euclidean group S E ( 3 ) , which is isomorphic to the theory of screws in the velocity and acceleration analyses of serial manipulators.” The news reporters obtained a quote from the research from National Technologica l Institute of Mexico: “The symbolic computation of the infinitesimal kinematics allows one to obtain algebraic expressions related to the kinematic characteris tics of the end effector of the serial manipulator, while in the case of complex manipulators, numerical computations are preferred owing to the emergence of lo ng terms. The algorithm presented enables the symbolic computation of the veloci ty and acceleration characteristics of the end effector in serial manipulators i n order to allow the compact and efficient modeling of velocity and acceleration analyses of both parallel and serial robotic manipulators.”
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 artificial intelligence. According to news originating from Mostoles, Spain, by NewsRx correspondents, research stated, “In the face of escalating emission redu ction demands and heightened public awareness, the imperative for transparent as sessments is fundamental to responsible and sustainable development. The use of life cycle assessment (LCA) is instrumental in identifying environmental hotspot s in intricate systems and guiding the design and selection of environmentally c onscious production methods.” Financial supporters for this research include Gobierno De Espana Ministerio De Ciencia E Innovacion.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Support Vecto r Machines have been published. According to news originating from Indore, India , by NewsRx correspondents, research stated, “Twin support vector machine (TWSVM ) and twin support vector regression (TSVR) are newly emerging efficient machine learning techniques which offer promising solutions for classification and regr ession challenges respectively. TWSVM is based upon the idea to identify two non parallel hyperplanes which classify the data points to their respective classes. ” Financial supporters for this research include Science and Engineering Research Board (SERB) funded Research Projects, Government of India, Council of Scientifi c & Industrial Research (CSIR) - India, Indian Institute of Techno logy Indore, National Natural Science Foundation of China (NSFC).
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 and mechatronics. According to news originating from Nagano, Japan, by NewsRx correspondents, research stated, “Curling is a two-player, zero-sum, finite, com plete-information, uncertain game in which stones are delivered to a point appro ximately 37 m (120 ft).” Funders for this research include Japan Science And Technology Agency; Takeuchi Scholarship Foundation. The news correspondents obtained a quote from the research from Shinshu Universi ty: “Despite its popularity, the dynamics of curling stones are unclear, and sig nificant variations exist in the conditions of curling stones and curling sheets . It is essential to have a highly reproducible delivery apparatus that can perf orm tests in various environments to clarify stone dynamics and evaluate curling stones and sheets more accurately. In this study, we developed a delivery robot capable of delivering stones as quickly and accurately as, if not better than, a human using a large-diameter pneumatic cylinder. The delivery robot could deli ver stones with high repeatability at 2.0 to 4.0 m/s by controlling the velocity of the pneumatic cylinder using multiple solenoid valves.”
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 and mechatronics. According to news reporting from Fukuoka, Japan, by N ewsRx journalists, research stated, “In the Bonabeau model, chemotaxis, which is observed in social insects, such as ants, was introduced into the movement rule s of agents to control the collision frequency between agents, and its effect on the mechanism of hierarchical structure formation was investigated.” The news reporters obtained a quote from the research from Kyushu Institute of T echnology: “Like an ant, this chemotactic agent makes stochastic decisions regar ding its direction of movement depending on the intensity of its released chemic als. Because of this mechanism, the agent depends on its past location history. It can perform different motions from a random walk (RW) and asymmetric attracti ve or repulsive interactions with other agents via the diffusion of chemotactic substances. When there is an attractive interaction between these agents, they a re more likely to aggregate, which increases the effective density; thus, the di sparity in the agent winning ratio is more likely to form than in a conventional model with a RW.”
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 Ar tificial Intelligence. According to news reporting originating in Moscow, Russia , by NewsRx journalists, research stated, “This review provides a thorough exami nation of recent developments in artificial intelligence analysis methods within mental and psychiatry field. By analyzing and comparing results obtained with v arious tools and techniques, we provide a comprehensive and systematic understan ding of applications.” Financial support for this research came from Russian Ministry of Health as part of the scientific work “Development of a multimodal biofeedback-based hardware and software system for rehabilitation of patients with cognitive and motor diso rders of different nature.”
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 reporting from Geneva, Switzerland, by NewsRx journalists, research stated, “In this work, we describe our approach to develop ing an intelligent and robust social robotic system for the Nadine social robot platform. We achieve this by integrating large language models (LLMs) and skillf ully leveraging the powerful reasoning and instruction-following capabilities of these types of models to achieve advanced human-like affective and cognitive ca pabilities.” Funders for this research include European Union (EU), Swiss Innovation Agency I nnosuisse, Swiss State Secretariat for Education, Research and Innovation (SERI) , Universite de Geneve.
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 Atlanta, Georgia, by NewsRx cor respondents, research stated, “High-performing human-human teams learn intellige nt and efficient communication and coordination strategies to maximize their joi nt utility. These teams implicitly understand the different roles of heterogeneo us team members and adapt their communication protocols accordingly.” Funders for this research include Naval Research Lab, Lockheed Martin Corporatio n, Office of Naval Research, Laboratory Directed Research and Development progra m at Sandia National Laboratories.
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 Artificial Intelligence. According to news reporting originating from Qingdao, P eople’s Republic of China, by NewsRx correspondents, research stated, “The exten sive application of autonomous devices based on triboelectric nanogenerators (TE NGs) has shown promising results for medical recovery. These TENG-integrated sen sors can collect patient data over extended periods, providing reliable informat ion on a variety of physiological indicators, which are instrumental for artific ial intelligence (AI) applications.” Our news editors obtained a quote from the research from Qingdao University, “An alyses of AI outcomes suggest that TENG-based devices possess significant potent ial within medical recovery systems. This paper explores the potential uses of w earable, patch, implantable, and noncontact TENGs across clinical therapy, elect rical stimulation recovery, anti-inflammatory treatments, medication administrat ion and detection, and rehabilitation support. Currently, TENG applications, whi ch synergize artificial intelligence and human-computer interaction, are predomi nantly focused on medical recovery.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Geophysical lo gging series are valuable geological data that record the physical and chemical information of borehole walls and in-situ formations, and are widely used by geo logists for interpreting geological problems due to their continuity, high resol ution, and ease of access. Recently, machine learning methods are gradually brin ging data science and geoscience closer together, and Intelligent Recognition us ing Logging Data (IRLD) is increasingly becoming an important interpretation tas k.” Funders for this research include National Natural Science Foundation of China ( NSFC), CNOOC.
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