首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Reports from Norwegian University of Science and Technology (NTNU) Add New Data to Findings in Robotics (Holistic Risk Modeling and Path Planning for Marine Rob otics)

    77-77页
    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 originating from Trondheim, Norway, by NewsRx correspo ndents, research stated, “Risk awareness and assessment are fundamental aspects of human cognition and situational awareness, and play crucial roles in problem solving and decision-making. In this article, we present a novel methodology for integrated risk modeling and path planning in robotics mimicking these human pr ocesses.”

    New Robotics Study Findings Recently Were Reported by Researchers at University of Wisconsin (Hybrid Soft Pneumatic and Tendon Actuated Finger With Selective Lo cking Chain Link Joints)

    78-79页
    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 Madison, Wisconsin, by NewsRx corresponden ts, research stated, “Rigid robots excel in structured conditions but struggle i n more unpredictable or populated environments. Soft robots address these diffic ulties, but the compliance which gives them their inherent safety also limits th eir ability to apply desired forces.”

    Study Data from Faculty of Engineering Update Knowledge of Robotics (PID Control ler with an Override Mode for a Wall- Following Robot with a Rotating Sensor Comp artment)

    78-78页
    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. According to news originating from the Faculty of Engineering by NewsR x correspondents, research stated, “This paper presents the design of a wall-fol lowing robot (WFR) with a rotating sensor compartment to reduce the number of di stance sensors used. Two infrared (IR) sensors were fitted in the compartment th at rotates back and forth at 45°, producing four measurement values at each rota tion cycle.”

    Data on Robotics Detailed by Researchers at Stockholm School of Economics (Human Employees and Service Robots In the Service Encounter and the Role of Attributi on of Theory of Mind)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Stockholm, Sweden, by NewsRx editors, the research stated, “A frequently made assumption - supported i n a large number of empirical studies - is that customer satisfaction stemming f rom a service encounter influences the customer’s subsequent word-of-mouth activ ities. The present study re-examines this association with respect to both human service employees and service robots (which are expected to become more common in service encounters in the near future).”

    Studies from Sun Yat-sen University Yield New Data on Robotics and Automation (A New Representation of Universal Successor Features for Enhancing the Generaliza tion of Target-driven Visual Navigation)

    80-81页
    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 - Robotics and Automation. According to news reporting originating in She nzhen, People’s Republic of China, by NewsRx journalists, research stated, “Targ et-driven visual navigation is a long-standing objective in the field of robotic s. Deep reinforcement learning methods have demonstrated their effectiveness in developing target-driven visual navigation policies, yet they often struggle wit h generalization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Fundamental Research Funds for the Central Universities, Sun Yat-sen University.

    Researchers at Jawaharlal Nehru Center of Advanced Science Research Release New Data on Artificial Intelligence (Recent Trends In Neuromorphic Systems for Non-v on Neumann in Materia Computing and Cognitive Functionalities)

    81-82页
    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 out of Bangalore, India, by N ewsRx editors, research stated, “In the era of artificial intelligence and smart automated systems, the quest for efficient data processing has driven explorati on into neuromorphic systems, aiming to replicate brain functionality and comple x cognitive actions. This review assesses, based on recent literature, the chall enges and progress in developing basic neuromorphic systems, focusing on ‘materi al-neuron’ concepts, that integrate structural similarities, analog memory, rete ntion, and Hebbian learning of the brain, contrasting with conventional von Neum ann architecture and spiking circuits.”

    Data on Artificial Intelligence Described by Researchers at Shenzhen University (Artificial Intelligence Enabled Biodegradable All-textile Sensor for Smart Moni toring and Recognition)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Shenzhe n, People’s Republic of China, by NewsRx journalists, research stated, “Artifici al intelligence (AI) enabled electronic textiles inherit the advantages of tradi tional textiles, such as softness, flexibility, and wearable convenience, and de monstrate significant potential for wearable applications. However, the existenc e of metallic electrodes and polymer thin films sensitive/encapsulating layers i n current textile- or fiber-based pressure sensors significantly reduces the uni que advantages of textiles, particularly in terms of renewability and biodegrada bility.”

    Reports from University of Modena and Reggio Emilia Add New Data to Findings in Machine Learning (Optimisation of the Adaptive Neuro-fuzzy Inference System for Adjusting Low-cost Sensors Pm Concentrations)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting originating in Modena, Italy, by NewsRx journa lists, research stated, “Driven by the urgent necessity for accurate environment al data in urban settings, this research leverages the Adaptive Neuro-Fuzzy Infe rence System (ANFIS) as a machine learning-based approach to refine SPS30 low-co st sensor data influenced by hygroscopicity in Turin, Italy. Employing ANFIS off ers several advantages: it enhances clarity regarding the correspondence between output and input values and rules, improves system interpretability, and facili tates the representation of linguistic variables and rules, thereby encouraging domain experts’ involvement in enhancing the system’s performance as needed.”

    Investigators from Technical University Dortmund (TU Dortmund) Zero in on Machin e Learning (Exploring the Individual Adoption of Human Resource Analytics: Behav ioural Beliefs and the Role of Machine Learning Characteristics)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Dortmu nd, Germany, by NewsRx journalists, research stated, “The technological capabili ties of Human Resource Analytics (HRA), enhanced by recent innovations in Machin e Learning (ML), offer exciting opportunities. However, organisations often fail to realise these potentials because of a limited understanding of why individua ls choose to adopt or disregard respective tools.”

    Dalian University of Technology Reports Findings in Cardiomyopathies (Robotic ma nipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogen ic cardiomyopathy)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Heart Disorders and Di seases - Cardiomyopathies is the subject of a report. According to news reportin g originating in Liaoning, People’s Republic of China, by NewsRx journalists, re search stated, “Arrhythmogenic cardiomyopathy (ACM) is a leading cause of sudden cardiac death among young adults. Aberrant gap junction remodeling has been lin ked to disease-causative mutations in plakophilin-2 ().”