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    New Findings on Robotics and Automation Described by Investigators at Czech Tech nical University (Making a Complete Mess and Getting Away With It: Traveling Sal esperson Problems With Circle Placement Variants)

    28-28页
    查看更多>>摘要：Research findings on Robotics - Roboti cs and Automation are discussed in a new report. According to news originating f rom Prague, Czech Republic, by NewsRx correspondents, research stated, "This let ter explores a variation of the Traveling Salesperson Problem, where the agent p laces a circular obstacle next to each node once it visits it. Referred to as th e Traveling Salesperson Problem with Circle Placement (TSP-CP), the aim is to ma ximize the obstacle radius for which a valid closed tour exists and then minimiz e the tour cost." Funders for this research include European Union (EU), Grant Agency of the Czech Technical University in Prague, UK Research & Innovation (UKRI).
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    Studies Conducted at Shanghai Jiao Tong University on Robotics Recently Reported (Kinematic Performance-oriented Tool Orientation Optimization for a Hybrid Mach ining Robot In Five-axis Ballend Milling)

    29-30页
    查看更多>>摘要：Fresh data on Robotics are presented i n a new report. According to news originating from Shanghai, People's Republic o f China, by NewsRx correspondents, research stated, "Five-axis hybrid robots are more extensively used in the machining of complex parts, owing to their high dy namic performance and flexible attitude adjustment. Ball-end milling is widely e mployed in sculptured surface machining." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Shanghai Jiao Tong University, "The tool orientation can be adjusted for enhanced machining efficie ncy and superior cutting performance. However, hybrid robots' complex kinematic structures raise challenges to tool orientation planning. To generate a smooth t oolpath that has good cutting performance and satisfies all the geometric and me chanical constraints, a tool orientation optimization model is presented. The we ighted sum of the joint kinematic performance index and the effective tool diame ter indexes are taken as the objective function. By constructing the robot works pace in advance, the computation in the generation of feasible tool orientation regions is reduced. The feasible orientation regions are further simplified as l inear inequality constraints which are updated during iteration. In each iterati on, the initial nonconvex optimization problem is locally approximated by a conv ex problem and solved by quadratic programming (QP)."
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    Investigators at Sun Yat-sen University Discuss Findings in Robotics and Automat ion (Rapid-mapping: Lidar-visual Implicit Neural Representations for Real-time D ense Mapping)

    30-31页
    查看更多>>摘要：Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting out of Guangzhou, People's Republic of China, by NewsRx editors, research stated, "Realtime dense mapping with high-fidelity textures in large-scale environments is such a chall enge in robots, digital twins, and AR/VR applications. Neural Radiance Field (Ne RF) has demonstrated remarkable capabilities in capturing intricate details and saving memory space, which provides significant advantages in the fine-grained r econstruction of large-scale scenes." Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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    Research Results from Iowa State University Update Understanding of Artificial I ntelligence (Self-evolving artificial intelligence framework to better decipher short-term large earthquakes)

    31-32页
    查看更多>>摘要：Researchers detail new data in artific ial intelligence. According to news originating from Iowa State University by Ne wsRx correspondents, research stated, "Large earthquakes (EQs) occur at surprisi ng loci and timing, and their descriptions remain a long-standing enigma." Financial supporters for this research include National Science Foundation. Our news correspondents obtained a quote from the research from Iowa State Unive rsity: "Finding answers by traditional approaches or recently emerging machine l earning (ML)-driven approaches is formidably difficult due to data scarcity, int erwoven multiple physics, and absent first principles. This paper develops a nov el artificial intelligence (AI) framework that can transform raw observational E Q data into ML-friendly new features via basic physics and mathematics and that can self-evolve in a direction to better reproduce short-term large EQs. An adva nced reinforcement learning (RL) architecture is placed at the highest level to achieve self-evolution. It incorporates transparent ML models to reproduce magni tude and spatial location of large EQs ( $$M_ w \ge $$ 6.5) weeks before of the failure. Verifications with 40-year EQs in the western U.S. and compariso ns against a popular EQ forecasting method are promising. This work will add a n ew dimension of AI technologies to large EQ research."
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    Findings from China University of Mining and Technology Has Provided New Data on Robotics (An Efficient Firefighting Method for Robotics: a Novel Convolution-ba sed Lightweight Network Model Guided By Contextual Features With Dual Attention)

    32-33页
    查看更多>>摘要：A new study on Robotics is now availab le. According to news reporting out of Xuzhou, People's Republic of China, by Ne wsRx editors, research stated, "Efficient firefighting operations are crucial fo r ensuring the safety of firefighters and preventing direct exposure to high-tem perature and high-radiation environments. However, traditional firefighting robo ts face the challenges of low efficiency, high misjudgment rates, and difficulty in control during firefighting processes, particularly in extremely complex and dynamically changing fire scenes." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Key R esearch and Development Program of Shandong Province (Major Science and Technolo gy Innovation Project), Guangdong Basic and Applied Basic Research Foundation.
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    University of Natural Resources and Applied Life Science Reports Findings in Art ificial Intelligence (From Industry 5.0 To Forestry 5.0: Bridging the Gap With H uman-centered Artificial Intelligence)

    33-34页
    查看更多>>摘要：Data detailed on Artificial Intelligen ce have been presented. According to news reporting out of Vienna, Austria, by N ewsRx editors, research stated, "Purpose of the ReviewRecent technological innov ations in Artificial Intelligence (AI) have successfully revolutionized many ind ustrial processes, enhancing productivity and sustainability, under the paradigm of Industry 5.0. It offers opportunities for the forestry sector such as predic tive analytics, automation, and precision management, which could transform trad itional forest operations into smart, effective, and sustainable practices." Financial support for this research came from Austrian Science Fund (FWF). Our news journalists obtained a quote from the research from the University of N atural Resources and Applied Life Science, "The paper sets forth to outline the evolution from Industry 5.0 and its promising transition into Forestry 5.0. The purpose is to elucidate the status of these developments, identify enabling tech nologies, particularly AI, and uncover the challenges hindering the efficient ad option of these techniques in forestry by presenting a framework.Recent Findings However, the gap between potential and practical implementation is primarily due to logistical, infrastructural, and environmental challenges unique to the fore stry sector. The solution lies in Human-Centered AI, which, unlike the Industry 4.0 paradigm, aims to integrate humans into the loop rather than replace them, t hereby fostering safe, secure, and trustworthy Human-AI interactions.SummaryThe paper concludes by highlighting the need for Human-Centered AI development for t he successful transition to Forestry 5.0 - where the goal is to support the huma n workers rather than substituting them. A multidisciplinary approach involving technologists, ecologists, policymakers, and forestry practitioners is essential to navigate these challenges, leading to a sustainable and technologically adva nced future for the forestry sector."
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    Research Reports on Artificial Intelligence from Universidade Federal de Jatai P rovide New Insights (Complexity and phase transitions in citation networks: insi ghts from artificial intelligence research)

    34-35页
    查看更多>>摘要：A new study on artificial intelligence is now available. According to news originating from the Universidade Federal d e Jatai by NewsRx correspondents, research stated, "In this study, we analyze th e changes over time in the complexity and structure of words used in article tit les and the connections between articles in citation networks, focusing on the t opic of artificial intelligence (AI) up to 2020." Our news journalists obtained a quote from the research from Universidade Federa l de Jatai: "By measuring unpredictability in word usage and changes in the conn ections between articles, we gain insights into shifts in research focus and div ersity of themes. Our investigation reveals correspondence between fluctuations in word complexity and changes in the structure of citation networks, highlighti ng links between thematic evolution and network dynamics."
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    East China University of Science and Technology Reports Findings in Artificial I ntelligence (An artificial intelligence-assisted digital microfluidic system for multistate droplet control)

    35-35页
    查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Shang hai, People's Republic of China, by NewsRx correspondents, research stated, "Dig ital microfluidics (DMF) is a versatile technique for parallel and field-program mable control of individual droplets. Given the high level of variability in dro plet manipulation, it is essential to establish self-adaptive and intelligent co ntrol methods for DMF systems that are informed by the transient state of drople ts and their interactions." Funders for this research include National Natural Science Foundation of China, National Key R&D Program of China.
      原文链接:
    • NETL
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    Study Findings from Oregon State University Broaden Understanding of Robotics (C omparison of Mcnp and Microshield Dose Savings Determinations for Remote Methods of Transuranic Contamination Characterization)

    36-36页
    查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting out of Corvallis, Oregon, by NewsRx editors, research stated, "The maturation of robotic and remote systems presents opportu nities to expand the use of technologies that have typically been restricted to high-dose/high-risk nuclear work for moderate- or low-risk work to further reduc e radiation exposure to workers. This study quantifies the potential dose saving s achieved through the use of robotic techniques for characterizing transuranic- contaminated waste items and compares dose estimates from a simplistic, user-fri endly deterministic radiation transport code and a more robust, complex Monte Ca rlo code." Financial support for this research came from Oregon State University. Our news journalists obtained a quote from the research from Oregon State Univer sity, "Three scenarios of transuranic-contaminated waste items described in publ ished reports are modeled using representative source geometries in MicroShield and MCNP radiation transport codes. Estimated dose rates are determined at point s ranging from 30 cm to 300 cm from the face of the waste item to represent the increase in distance allowed by robotic or remote system implementation for char acterization activities. The dose rate savings are then converted to detriment c ost savings using a dollar-per-person-dose conversion factor to provide a financ ial context. The radiation transport simulations show no consistent bias in esti mated dose rate by varying simulation methodology or using geometrical simplific ations-in some cases, MicroShield produces higher dose rate estimates while MCNP estimates are higher in other cases. In the MCNP simulations, the volume source geometry consistently produces a higher dose rate than the slab source geometry , but the MicroShield dose rate estimates do not display the same trend."
      原文链接:
    • NETL
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    New Robotics Data Have Been Reported by Investigators at Tianjin University (A N ovel Multi-pulse Friction Compensation Strategy for Hybrid Robots)

    37-37页
    查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting out of Tianjin, People's Republic of China, by NewsRx editors, research stated, "Friction nonlinearity near zero velocity ca uses substantial tracking errors during joint motion reversals. For hybrid robot s, this phenomenon is further influenced by joint acceleration and robot configu ration, unique characteristics of hybrid robots that can degrade the performance of traditional friction compensation methods." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Tianjin University, "This paper presents a novel multi-pulse friction compensation strategy that ca n adapt to joint acceleration and configuration variations in hybrid robots. Bay esian Optimization is employed to automatically tune all compensation parameters . By analyzing experimental data, a potential relationship between compensation parameters and joint acceleration is explored, leading to a concise and effectiv e method for estimating optimal parameters based on joint acceleration. In addit ion, the basic idea of cluster analysis is combined with a limited number of exp eriments to achieve online parameter-to-configuration matching."
      原文链接:
    • NETL
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