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    Studies from Foshan University Reveal New Findings on Robotics (Study of a Globa l Calibration Method for a Planar Parallel Robot Mechanism Considering Joint Err or)

    106-107页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news originating from Foshan, People's Republic of China, by NewsRx correspondents, research stated, "In order to improve the posi tioning accuracy of industrial robots, this paper proposes a global calibration method for planar parallel robot considering joint errors, which solves the prob lem that the existing calibration methods only consider part of the error source s and the calibration accuracy is poor, and improves the calibration efficiency and robot positioning accuracy. Consequently, it improves calibration efficiency and the overall precision of robot positioning." Funders for this research include Guangdong Basic and Applied Research Foundatio n, National Natural Science Foundation of China (NSFC), Research Projects of Uni versities in Guangdong Province.
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    Investigators at National Institute of Technology Silchar Discuss Findings in Na nowires (A Machine Learning Approach To Accelerate Reliability Prediction In Nan owire Fets From Self-heating Perspective)

    107-108页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on Nanotechnology - Nanowires a re discussed in a new report. According to news reporting from Silchar, India, b y NewsRx journalists, research stated, "Nanowire Field Effect Transistors (NWFET s) have been considered as the next-generation technology for sub-10 nm technolo gy nodes, succeeding FinFETs. However, the highly confined nature of Nanowire FE Ts creates reliability issues that significantly impact their performance." Financial support for this research came from Science and Engineering Research B oard, DST, Govt. of India.
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    Reports on Robotics Findings from Technical University Munich (TU Munich) Provid e New Insights (Generalized Synchronized Active Learning for Multi-agent-based D ata Selection On Mobile Robotic Systems)

    108-108页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Munich, Germany, by NewsRx correspond ents, research stated, "In mobile robotics, perception in uncontrolled environme nts like autonomous driving is a central hurdle. Existing active learning framew orks can help enhance perception by efficiently selecting data samples for label ing, but they are often constrained by the necessity of full data availability i n data centers, hindering real-time, on-field adaptations." Our news journalists obtained a quote from the research from Technical Universit y Munich (TU Munich), "To address this, our work unveils a novel active learning formulation optimized for multi-robot settings. It harnesses the collaborative power of several robotic agents, considerably enhancing the data acquisition and synchronization processes." According to the news editors, the research concluded: "Experimental evidence in dicates that our approach markedly surpasses traditional active learning framewo rks by up to 2.5 percent points and 90% less data uploads, deliver ing new possibilities for advancements in the realms of mobile robotics and auto nomous systems."
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    Study Findings from University of Illinois Broaden Understanding of Robotics (As trobeecd: Change Detection In Microgravity With Free-flying Robots)

    109-110页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-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 originating in Urbana, Illinois, by NewsRx j ournalists, research stated, "This work presents AstrobeeCD, a system for 3D sce ne change detection toward near-real-time environmental awareness of space outpo sts using the Astrobee free-flying robot in microgravity. Assistive free-flyer r obots autonomously caring for future crewed space habitats must be able to detec t day-to-day interior changes to track inventory, detect and diagnose faults, an d monitor the outpost status." Funders for this research include NASA Space Technology Graduate Research Opport unity, United States, P.E.O. Scholar Award, United States, Zonta International A melia Earhart Fellowship, United States, Soffen Memorial Fund, United States, St anford JEDI Initiative, United States, Future Space Leaders Foun-dation, United States, National Aeronautics & Space Administration (NASA), Common wealth Scientific & Industrial Research Organisation (CSIRO), Wins ton Churchill Fellowship, Australia, NASA Game Changing Development (GCD), Unite d States, Astrobee Facilities team at NASA Ames Research Center.
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    Investigators at Stanford University Describe Findings in Robotics and Automatio n (Prime: Scaffolding Manipulation Tasks With Behavior Primitives for Data-effic ient Imitation Learning)

    109-109页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting from Stanford, Ca lifornia, by NewsRx journalists, research stated, "Imitation learning has shown great potential for enabling robots to acquire complex manipulation behaviors. H owever, these algorithms suffer from high sample complexity in long-horizon task s, where compounding errors accumulate over the task horizons." Financial supporters for this research include IIIS, Tsinghua University, Adviso r, Todor Stoyanov, Wallenberg AI, Autonomous Systems, and Software Program (WASP ), National Science Foundation (NSF), Office of Naval Research, UT Good Systems, Machine Learning Laboratory. The news correspondents obtained a quote from the research from Stanford Univers ity, "We present PRIME (PRimitive-based IMitation with data Efficiency), a behav ior primitive-based framework designed for improving the data efficiency of imit ation learning. PRIME scaffolds robot tasks by decomposing task demonstrations i nto primitive sequences, followed by learning a high-level control policy to seq uence primitives through imitation learning."
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    Reports Summarize Artificial Intelligence Study Results from Oak Ridge National Laboratory (Deep-learning Based Artificial Intelligence Tool for Melt Pools and Defect Segmentation)

    110-111页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-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 reporting originating fr om Oak Ridge, Tennessee, by NewsRx correspondents, research stated, "Acceleratin g fabrication of additively manufactured components with precise microstructures is important for quality and qualification of built parts, as well as for a fun damental understanding of process improvement. Accomplishing this requires fast and robust characterization of melt pool geometries and structural defects in im ages." Funders for this research include United States Department of Energy (DOE), US g overnment retains a nonexclusive, Advanced Manufacturing Office.
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    University of Bern Reports Findings in Artificial Intelligence (Accelerating his topathology workflows with generative AI-based virtually multiplexed tumour prof iling)

    111-112页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-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 originating from Bern, Switzerla nd, by NewsRx correspondents, research stated, "Understanding the spatial hetero geneity of tumours and its links to disease initiation and progression is a corn erstone of cancer biology. Presently, histopathology workflows heavily rely on h ematoxylin and eosin and serial immunohistochemistry staining, a cumbersome, tis sue-exhaustive process that results in non-aligned tissue images."
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    Researchers at Faculty of Electrical Engineering Have Reported New Data on Artif icial Intelligence (It's Time for Artificial Intelligence Governance)

    112-113页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Artific ial Intelligence. According to news reporting out of Sarajevo, Bosnia and Herzeg ovina, by NewsRx editors, research stated, "Advances in Internet of Things and A rtificial Intelligence have transformed society with the po-tential to foster th e prosperity of human beings and improving societal welfare. However, at the sam e time, there are concerns about their potential negative impact." Our news journalists obtained a quote from the research from the Faculty of Elec trical Engineering, "In this regard, it is of utmost importance to establish a r egulatory framework for the Artificial Intelligence and the Internet of Things t hat will ensure that human rights and fundamental freedoms are respected, promot ed, and protected. In this sense, the goal of this article is to propose the Art ificial Intelligence and the Internet of Things Governance model."
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    Higher School of Economics Researchers Highlight Research in Machine Learning (L inguacodus: a synergistic framework for transformative code generation in machin e learning pipelines)

    113-114页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Mosc ow, Russia, by NewsRx correspondents, research stated, "In the ever-evolving lan dscape of machine learning, seamless translation of natural language description s into executable code remains a formidable challenge." Our news reporters obtained a quote from the research from Higher School of Econ omics: "This article introduces Linguacodus, an innovative framework designed to tackle this challenge by deploying a dynamic pipeline that iteratively transfor ms natural language task descriptions into code through high-level data-shaping instructions. The core of Linguacodus is a fine-tuned large language model, empo wered to evaluate diverse solutions for various problems and select the most fit ting one for a given task. This article details the fine-tuning process and shed s light on how natural language descriptions can be translated into functional c ode. Linguacodus represents a substantial leap towards automated code generation , effectively bridging the gap between task descriptions and executable code. It holds great promise for advancing machine learning applications across diverse domains. Additionally, we propose an algorithm capable of transforming a natural description of an ML task into code with minimal human interaction."
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    Studies from Technical University Yield New Data on Androids (A Method for Asses sing the Reliability of the Pepper Robot in Handling Office Documents: A Case St udy)

    114-114页
    查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in androids. According to news reporting originating from Cluj Napoca, Romania, by NewsRx correspondents, research stated, "Humanoid robots are increasingly being utilized in various activities involving humans, as they can facilitate certain tasks and provide benefits to users." The news journalists obtained a quote from the research from Technical Universit y: "Humanoid service robots possess capabilities akin to human performance, ofte n proving advantageous due to their operational speed and immunity to fatigue. W ithin the scope of this study, Pepper, a humanoid robot renowned for its fidelit y in mimicking human gestures and behavior, serves as the focal point."
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