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    Robots could clear snow, assist at crosswalks, monitor sidewalks for traffic

    1-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study by Carnegie Mellon Univers ity researchers found that when roboticists and people with disabilities collabo rate on robot designs, interesting ideas emerge that could make existing robots more accessible and inspire new uses. In their research, School of Computer Science faculty members Sarah Fox and Niko las Martelaro highlight potential issues sidewalk robots encounter during deploy ment and propose solutions to mitigate them before the robots hit the streets. T heir new study, led by Human-Computer Interaction Institute (HCII) Ph.D. student Howard Han, was presented last month at the ACM Conference on Human Factors in Computing Systems (CHI 2024).
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    New Artificial Intelligence Findings from Ottawa Hospital Outlined (Using an Art ificial Intelligence Tool Can Be As Accurate As Human Assessors In Level One Scr eening for a Systematic Review)

    2-3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 from Ottawa, Canada, b y NewsRx journalists, research stated, "Artificial intelligence (AI) offers a pr omising solution to expedite various phases of the systematic review process suc h as screening. We aimed to assess the accuracy of an AI tool in identifying eli gible references for a systematic review compared to identification by human ass essors."Funders for this research include The Ottawa Hospital Anesthesia Alternate Funds Association, Faculty of Medicine, University of Ottawa, Department of Anesthesi ology and Pain Medicine, The Ottawa Hospital.
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    New Artificial Intelligence Study Findings Have Been Reported from University of Surrey (Projection: a Mechanism for Human-like Reasoning In Artificial Intellig ence)

    3-4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 Surrey, United Kingdom, by NewsRx editors, the research stated, "Artificial Intelligenc e systems cannot yet match human abilities to apply knowledge to situations that vary from what they have been programmed for, or trained for." The news reporters obtained a quote from the research from the University of Sur rey, "In visual object recognition, methods of inference exploiting top-down inf ormation (from a model) have been shown to be effective for recognising entities in difficult conditions. Here a component of this type of inference, called 'pr ojection', is shown to be a key mechanism to solve the problem of applying knowl edge to varied or challenging situations, across a range of AI domains, such as vision, robotics, or language."
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    Studies Conducted at University of Trier on Support Vector Machines Recently Rep orted (Mixed-integer Quadratic Optimization and Iterative Clustering Techniques for Semi-supervised Support Vector Machines)

    4-5页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Support Vector Machin es have been presented. According to news reporting originating in Trier, German y, by NewsRx journalists, research stated, "Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In some applications, however, labels are only available for a subset of points." Funders for this research include German Research Foundation (DFG), German Resea rch Foundation (DFG).
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    Reports Outline Robotics Findings from SRM Institute of Science and Technology ( Quicker Path Planning of a Collaborative Dualarm Robot Using Modified Bp-rrt* A lgorithm)

    5-6页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. Ac cording to news originating from Chennai, India, by NewsRx correspondents, resea rch stated, "Path-planning of an industrial robot is an important task to reduce the overall operation time. In industrial tasks, path planning is executed with lead-through programming, where in most cases the robot faces singulated object configurations." Our news journalists obtained a quote from the research from the SRM Institute o f Science and Technology, "Cluttered environments demand path-planning algorithm s, which are sensor driven, rather than pre-programmed. Path-planning algorithms , like RRT, and RRT* and their variants have inherent problems like the duration of a search and the creation of several node samples which may lead to longer p ath lengths. Back Propagation-Rapidly exploring Random Tree* (BP-RRT*) algorithm was a leap forward when an obstacle is enveloped with a sphere. Due to the sphe rical envelope of the obstacle, this method evaluates the connection between the path and obstacle in space with a spherical envelope using the triangular funct ion and identifies the non-collision path in 3D space. This predicts the best no n-collision path in the 3D workspace. The current state -of -the -art of BP-RRT* is limited to single -arm robots. A collaborative dual -arm robot faces more pr oblems in path planning than a single -arm robot like intercollision of manipul ator arms apart from avoiding obstacles. A Modified BP-RRT* algorithm is propose d for the dual -arm collaborative robot has a pre-stage partition of grids that makes the computation faster, efficient, and collision-free compared to the trad itional path planning algorithms namely RRT, RRT*, Improved RRT* and BP-RRT*. Th e algorithm is implemented in simulation as well as in physical implementation f or ABB YuMi dual -arm collaborative robot and the typical length of the path of the proposed modified BP-RRT* method has reduced by 53.8% from the traditional RRT method, 6.95% from the RRT* method, 7.77% from improved RRT* method and 6.83% from the BP-RRT* method."
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    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Researc hers Add New Data to Research in Machine Learning (Modeling the Influence of Pre cipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learnin g ...)

    6-7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 new report. According to news reporting out of Guangzhou, People's Republic of China, by NewsRx editors, research stated, "A new forward m odel (FM) was developed to characterize the influence of precipitation on L-band passive ocean surface measurements. The FM, which relates rain-induced brightne ss temperature (TB) variations to the rain rate and wind speed (WS), was establi shed through a machine learning approach (referred to as the ML-FM)." Financial supporters for this research include National Natural Science Foundati on of China; Zhejiang Provincial Natural Science Foundation of China; Pioneer R& amp,D Program of Zhejiang.
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    University of Plymouth Reports Findings in Artificial Intelligence (Impact of Re sponsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review)

    7-8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 from Plymo uth, United Kingdom, by NewsRx correspondents, research stated, "Responsible art ificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the dep loyment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under devel opment to guide the support and implementation of AI given these considerations. " Our news editors obtained a quote from the research from the University of Plymo uth, "The purpose of this review is to provide an overview of current research e vidence and knowledge gaps regarding the implementation of RAI principles and th e occurrence and resolution of ethical issues within AI systems. A scoping revie w following Preferred Reporting Items for Systematic Reviews and Meta-Analyses E xtension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest ( Arts and Humanities) will be systematically searched for articles published sinc e 2013 that examine RAI principles and ethical concerns within AI. Eligibility a ssessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature. The results will be included in the full scoping review, which is expected to start in June 2024 an d completed for the submission of publication by the end of 2024. This scoping r eview will summarize the state of evidence and provide an overview of its impact , as well as strengths, weaknesses, and gaps in research implementing RAI princi ples. The review may also reveal discipline-specific concerns, priorities, and p roposed solutions to the concerns."
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    Reports on Robotics Findings from Beijing University of Technology Provide New I nsights (Active Vibration Avoidance Method for Variable Speed Welding in Robotic Friction Stir Welding Based on Constant Heat Input)

    8-8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 robotics are disc ussed in a new report. According to news reporting from Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "Robotic Friction Stir Weld ing (RFSW) technology integrates the advantages of friction stir welding and ind ustrial robots, finding extensive applications and research in aerospace, shipbu ilding, and new energy vehicles." Financial supporters for this research include National Key Research And Develop ment Program of China. The news journalists obtained a quote from the research from Beijing University of Technology: "However, the high-speed rotational process of friction stir weld ing combined with the low stiffness characteristics of serial industrial robots inevitably introduces vibrations during the welding process. This paper investig ates the vibration patterns and impacts during the RFSW process and proposes an active vibration avoidance control method for variable speed welding based on co nstant heat input. This method utilizes a vibration feedback strategy that adjus ts the spindle speed actively if the end-effector's vibration exceeds a threshol d, thereby avoiding the modal frequencies of the robot at its current pose. Conc urrently, it calculates and adjusts the welding speed of the robot according to the thermal equilibrium equation to maintain constant heat input."
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    Study Results from Anhui University of Science and Technology Provide New Insigh ts into Robotics (Thermal Error Modeling Method of Truss Robot Based On Ga-lstm)

    9-10页
    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 originating in Huainan, People's Rep ublic of China, by NewsRx journalists, research stated, "PurposeThe selection of sensitive temperature measurement points is the premise of thermal error modeli ng and compensation. However, most of the sensitive temperature measurement poin t selection methods do not consider the influence of the variability of thermal sensitive points on thermal error modeling and compensation." Funders for this research include Key Project of Natural Science Research Projec t of Anhui Universities, Anhui University of Science and Technology Re-search St art-up Fund for High-level Talents Introduction, Anhui Province Innovation Metho d Promotion and Demonstration Base Open Fund.
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    Data on Machine Learning Detailed by Researchers at Michigan State University (A ssessing the Evolution of Research Topics In a Biological Field Using Plant Scie nce As an Example)

    9-9页
    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 is now available. According to news originating from East Lansing, Michigan, by NewsRx correspondents, research stated, "Scientific advances due to conceptual or tech nological innovations can be revealed by examining how research topics have evol ved. But such topical evolution is difficult to uncover and quantify because of the large body of literature and the need for expert knowledge in a wide range o f areas in a field." Funders for this research include National Science Foundation (NSF), United Stat es Department of Energy (DOE).
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