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    Findings from Technical University Munich (TU Munich) in Robotics Reported (Digital Robot Judge: Building a Task-centric Performance Database of Real-world Manipulation With Electronic Task Boards)

    37-38页
    查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting originating in Munich, Germany, by NewsRx journalists, research stated, “Robotics aims to develop manipulation skills approaching human performance.” Financial supporters for this research include Lighthouse Initiative KI.FABRIK Bayern, German Research Foundation (DFG), European project euROBIN. The news reporters obtained a quote from the research from Technical University Munich (TU Munich), “However, skill complexity is often over- or underestimated based on individual experience, and the realworld performance gap is difficult or expensive to measure through in-person competitions. To bridge this gap, we propose a compact, Internet-connected, electronic task board to measure manipulation performance remotely; we call it the digital robot judge, or ‘DR.J.' By detecting key events on the board through performance circuitry, DR.J provides an alternative to transporting equipment to in-person competitions and serves as a portable test and data-generation system that captures and grades performances, making comparisons less expensive.”
      原文链接:
    • NETL
    • NSTL
    • IEEE

    Investigators from Chongqing University Target Robotics (Task-based Compliance Control for Bottle Screw Manipulation With a Dual-arm Robot)

    38-39页
    查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting from Chongqing, People's Republic of China, by NewsRx journalists, research stated, “In this article, a novel task-based compliance control approach for a dual-arm robot is presented with a bottle screw task. The presented approach aims at overcoming uncertainties from the object model and contact forces during the bottle screw task.” Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Chongqing Technology Innovation and Application Development Special Key Project, China Postdoctoral Science Foundation. The news correspondents obtained a quote from the research from Chongqing University, “A novel framework is proposed to synthesize the task motion planning and compliance control that ensure desired performance of both accuracy and compliant motion. The proposed task-based compliance control approach provides a hierarchical strategy: gross motion planning and fine compliance motion planning. The gross motion planning involves the absolute and relative motion control on a macroscale, while the fine compliance motion planning deals with uncertainties by the compliance control to accomplish a task requiring high precision robustly. A theoretical modeling of the bottle screw task is presented within the proposed framework through the analysis of uncertainties and constraints.”
      原文链接:
    • NETL
    • NSTL
    • IEEE

    University of Monastir Reports Findings in Artificial Intelligence [Dyeing of advanced denim fabrics (blend of cotton/bicomponent polyester filaments) using different processes and artificial intelligence method]

    39-40页
    查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting out of Monastir, Tunisia, by NewsRx editors, research stated, “Denim clothes are the must-have items of clothing around the world. This kind of fabrics is evolving with the increasing consumer demand in order to keep its place as a versatile article.” Our news journalists obtained a quote from the research from the University of Monastir, “In this context, this paper contributes to the development and dyeing of a new blend fabric made of cotton fibers and bicomponent polyester filaments (PET/PTT). A comparative study between the mechanical and thermal properties of this fabric and conventional fabrics has confirmed the great interest to use bicomponent (PET/PTT) filaments in the manufacture of denim fabrics; these bicomponent filaments allow to give to wearer the desired elasticity and comfort. For dyeing (cotton/bicomponent polyester filaments) blend fabric, three different processes, using reactive and disperse dyes, were tested and analyzed. These dyeing processes are: two-baths/two-phases, one-bath/two-phases, and one-bath/one-phase processes. In addition, in order to obtain uniform shades between cotton fibers dyed with reactive dyes and bicomponent polyester filaments dyed with disperse dyes, an ant colony algorithm was elaborated to predict the optimal dye recipes. By observing obtained results, the developed algorithm is very effective; it allows to find the combination of reactive dyes necessary to achieve the same shade obtained by the disperse dyes with very small color differences between the two components and without having to make corrections mainly for the one-bath/two-phases process. Indeed, dyeing using the two processes (two baths/two phases and one bath/two phases) presents the best values of color yield (K/S) with almost similar results (DE «1). For the one-bath/one-phase process, it presents less significant results; We can observe DE greater than 1 in certain shades.”
      原文链接:
    • NETL
    • NSTL

    Findings in Robotics Reported from Shanghai Jiao Tong University (Design, Modeling, and Evaluation of Parallel Continuum Robots: a Survey)

    40-40页
    查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting from Shanghai, People's Republic of China, by NewsRx journalists, research stated, “Parallel continuum robots (PCRs) have attracted increasing attention in the robotics community due to their simplicity in structure, inherence with compliance, and easiness of realization. Over the past decade, a variety of novel designs have been reported to enrich their diversity.” Funders for this research include National Key R&D Program of China, National Natural Science Foundation of China (NSFC), Innovation Foundation of the Manufacturing Engineering Technology Research Center of Commercial Aircraft Corporation of China. The news correspondents obtained a quote from the research from Shanghai Jiao Tong University, “However, there is a lack of systematic review of these emerging robots. To this end, this paper conducts a comprehensive survey on the mechanism design, kinetostatic modeling and analysis, and performance evaluation. For these robots, kinetostatic modeling plays a fundamental role throughout the design, analysis, and control stages. A systematic review of the existing approaches for kinetostatic modeling and analysis is provided, and a comparison is made to distinguish their differences. As well, a classification is made according to the characteristics of structure and actuation. In addition, performance evaluation on the workspace, stability, and singularity is also overviewed. Finally, the scenarios of potential applications are elaborated, and future research prospects are discussed.”
      原文链接:
    • NETL
    • NSTL
    • Science Press

    New Findings from Monterrey Institute of Technology and Higher Education in the Area of Computational Intelligence Reported (Cognitive Modeling for Understanding Interactions Between People and Decision Support Tools In Complex and Uncertain…)

    41-42页
    查看更多>>摘要：Investigators discuss new findings in Computational Intelligence. According to news reporting from Mexico City, Mexico, by NewsRx journalists, research stated, “Recent advances in Computational Intelligence Tools and the escalating need for decision-making in the face of complex and uncertain phenomena like pandemics, climate change, and geopolitics necessitate understanding the interaction between these tools and human behavior. It is crucial to efficiently utilize the decision-makers cognitive resources in addressing specific problems.” Funders for this research include Air Force Office of Scientific Research, Tecnologico de Monterrey Challenge-Based Research Funding Program. The news correspondents obtained a quote from the research from the Monterrey Institute of Technology and Higher Education, “The main goal of this present protocol is to describe the effect that CITs (Computational Intelligence Tools) have on decisions made during complex and uncertain situations. It is an exploratory study with a mixed methodology. Solomon's group experiment design includes a narrative analysis of cognitive features such as integrative complexity (IC), cognitive flexibility (CF), and fluid intelli- gence (FI). Additionally, measures of neural activity (NA), physiological measures (PM), and eye-tracking data (ET) will be collected during the experimental session to examine the marginal impact of these processes on decision outcomes (DO) and their relation to CIT capabilities. To achieve this objective, 120 undergraduate and graduate students involved in decision-making will participate as subjects. The approximate duration of the study will be 2 years. Strict adherence to the relevant ethical considerations will be maintained during the performance of the experimental tasks. The study will provide valuable information on CITs' effect on decision-making under complex and uncertain contexts. This will help to better understand the link between technology and human behavior, which has important implications.”
      原文链接:
    • NETL
    • NSTL
    • Public Library Science

    Researchers at Stanford University Publish New Study Findings on Machine Learning (Accelerating the transition to cobalt-free batteries: a hybrid model for LiFePO4/graphite chemistry)

    41-41页
    查看更多>>摘要：Current study results on artificial intelligence have been published. According to news reporting from Stanford University by NewsRx journalists, research stated, “The increased adoption of lithium-iron-phosphate batteries, in response to the need to reduce the battery manufacturing process's dependence on scarce minerals and create a resilient and ethical supply chain, comes with many challenges.” Our news correspondents obtained a quote from the research from Stanford University: “The design of an effective and high-performing battery management system (BMS) for such technology is one of those challenges. In this work, a physics-based model describing the two-phase transition operation of an iron-phosphate positive electrode-in a graphite anode battery-is integrated with a machine-learning model to capture the hysteresis and path-dependent behavior during transient operation. The machine-learning component of the proposed ‘hybrid' model is built upon the knowledge of the electrochemical internal states of the battery during charge and discharge operation over several driving profiles. The hybrid model is experimentally validated over 15 h of driving, and it is shown that the machine-learning component is responsible for a small percentage of the total battery behavior (i.e., it compensates for voltage hysteresis).”
      原文链接:
    • NETL
    • NSTL

    New Findings from Huazhong University of Science and Technology in the Area of Robotics Reported (Robotic Milling Posture Adjustment Under Composite Constraints: a Weight-sequence Identification and Optimization Strategy)

    42-43页
    查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, “Industrial robots are widely used for milling complex parts in restricted spaces owing to their multiple degrees of freedom and flexible postures. To plan posture trajectory for robot machining with high precision under multiple constraints, this study establishes composite constraint models with constraint boundary solutions.” Funders for this research include National Key Research and Development Program of China, Basic Science Center of China, National Natural Science Foundation of China (NSFC). The news reporters obtained a quote from the research from the Huazhong University of Science and Technology, “An improved gray relation analysis model is adopted to identify the weight-sequences among the composite constraints. The correlation degrees of the postures of the robot can be dynamically quantified between arbitrary cutter locations by applying weight sequence identification, which is conducive to fulfilling attractive orientations in artificial potential fields. In addition, this study proposes an initial posture determination strategy based on the optimization principle of minimizing the rotated energy in global postures. Consequently, an artificial potential planning model is applied to the implement posture adjustment of the robot end effector.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Data from Northwest A&F University Provide New Insights into Machine Learning [Research On Potato (solanum Tuberosum L.) Nitrogen Nutrition Diagnosis Based On Hyperspectral Data]

    43-44页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting originating in Yangling, People's Republic of China, by NewsRx journalists, research stated, “Reducing the overapplication of nitrogen fertilizers to potatoes (Solanum tuberosum L.) can reduce production costs and their impact on the environment. One approach to produce these impacts is to reduce overapplications of fertilizers by using the nitrogen nutrition index (NNI = plant nitrogen concentration/critical nitrogen concentration) as a basis for in-season nitrogen recommendations.” Financial support for this research came from National Natural Science Foundation of China (NSFC). The news reporters obtained a quote from the research from Northwest A&F University, “The objective of this study was to create a remote sensing-based algorithm to estimate NNI. This study collected hyperspectral data (350-1830 nm) during the potato tuber formation period in 2022 and 2023. The climate regime for the study area was a mid-temperate semiarid continental monsoon; in our study, three different spectral parameter calculation methods were employed. First, the empirical vegetation index, determined through a fixed two-band calculation. Second, the optimal vegetation index, computed on a band-by-band basis. Lastly, the trilateral spectral approach, wherein the indicators are typically associated with the red edge, blue edge, and green edge. The optimum vegetation index had the highest correlation with NNI. The support vector machine, random forest (RF), and back propagation neural network models were used to create NNI prediction models. All machine learning models effectively estimated NNI, and during validation, the R-2 (coefficient of determination) was >0.700. In general, the RF model outperformed the other models and during validation had an R-2 of 0.869, a root mean square error of 0.052, and a relative error of 5.504%.”
      原文链接:
    • NETL
    • NSTL
    • Wiley

    Researchers at Indian Institute of Management Have Published New Data on Artificial Intelligence (Artificial intelligence adoption in extended HR ecosystems: enablers and barriers. An abductive case research)

    44-45页
    查看更多>>摘要：New study results on artificial intelligence have been published. According to news reporting originating from Indore, India, by NewsRx correspondents, research stated, “Artificial intelligence (AI) has disrupted modern workplaces like never before and has induced digital workstyles.” The news journalists obtained a quote from the research from Indian Institute of Management: “These technological advancements are generating significant interest among HR leaders to embrace AI in human resource management (HRM). Researchers and practitioners are keen to investigate the adoption of AI in HRM and the resultant human-machine collaboration. This study investigates HRM specific factors that enable and inhibit the adoption of AI in extended HR ecosystems and adopts a qualitative case research design with an abductive approach. It studies three well-known Indian companies at different stages of AI adoption in HR functions. This research investigates key enablers such as optimistic and collaborative employees, strong digital leadership, reliable HR data, specialized HR partners, and well-rounded AI ethics. The study also examines barriers to adoption: the inability to have a timely pulse check of employees' emotions, ineffective collaboration of HR employees with digital experts as well as external HR partners, and not embracing AI ethics.”
      原文链接:
    • NETL
    • NSTL
    • Frontiers Media Sa

    Investigators from Agency for Science Technology and Research (A*STAR) Release New Data on Artificial Intelligence (Spintronic Devices for High-density Memory and Neuromorphic Computing - a Review)

    45-46页
    查看更多>>摘要：Current study results on Artificial Intelligence have been published. According to news reporting originating from Singapore, Singapore, by NewsRx correspondents, research stated, “Spintronics is a growing research field that focuses on exploring materials and devices that take advantage of the electron's ‘spin' to go beyond charge based devices. The most impactful spintronic device to date is a highly sensitive magnetic field sensor, the spin-valve, that allowed for a 10,000-fold increase in the storage capacity of hard disk drives since it was first introduced in a magnetic recording read head in 1997.” Funders for this research include Agency for Science Technology & Research (A*STAR), Career Development Fund, National Research Foundation, Singapore, Ministry of Education, Singapore.
      原文链接:
    • NETL
    • NSTL
    • Elsevier