查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsResearchers detail new data in Robotics. Accordin g to news reporting originating from Changchun, People's Republic of China, by N ewsRx correspondents, research stated, "The uncertainty of the environment has b rought some difficulties to the path planning of the robot arm. In order to impr ove the path planning effect of the fruit and vegetable picking robot arm, an op timization algorithm for the path planning of the fruit and vegetable picking ro bot arm with track translation is proposed." Financial support for this research came from Projects of Jilin Provincial Depar tment of Science and Technology.
查看更多>>摘要：Data detailed on Robotics have been pr esented. According to news reporting from Hangzhou, People's Republic of China, by NewsRx journalists, research stated, "Human-robot motion retargeting is a com plex nonlinear problem, due to heterogeneous kinematic configuration between hum an and robot. Recent efforts aim to tackle the generalizability of motion retarg eting on diverse robots, yet challenges persist in handling unseen human motions with varying scales and the absence of an efficient self-collision avoidance st rategy." Funders for this research include Zhejiang Provincial Key Research and Developme nt Program, Natural Science Foundation of Zhejiang Province, Key Research Projec t of Zhejiang Lab.
查看更多>>摘要：Researchers detail new data in Artific ial Intelligence. According to news originating from Madrid, Spain, by NewsRx co rrespondents, research stated, "Recent advances in Generative Artificial Intelli gence are leading to major changes in education, both in the way educators teach and in the way students learn. For example, Generative Artificial Intelligence (GenAI) chatbots, such as ChatGPT, can help students by assisting them in proble m solving or supporting them in code development tasks." Funders for this research include FEDER/Ministerio de Ciencia, Innovacion y Univ ersidades -Agencia Estatal de Investigacion through project H2O Learn, European Commission through Erasmus+ projects MICROCASA, MICRO-GEAR, POEM-SET, EcoCredGT .
查看更多>>摘要：Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Changsha, Peop le's Republic of China, by NewsRx journalists, research stated, "Box girders ser ve as crucial upper-level load-bearing components in high-speed railway simply-s upported bridges, requiring sufficient structural rigidity during operation. The occurrence of cracks compromises the overall stiffness of the structure, posing significant safety risks and potentially leading to substantial loss of life an d property." Funders for this research include National Natural Science Foundation of China ( NSFC), Central South University Research Program of Advanced Interdisciplinary S tudies. The news reporters obtained a quote from the research from the School of Civil E ngineering, "Therefore, it is essential to rapidly and accurately detect cracks within the girder structure, particularly in the interior of box girders where a ccess for maintenance by personnel is inconvenient. To address this issue, this paper proposes a robot-based framework for crack detection in high-speed railway box girder, and accurately evaluate the damage status of structures. This compr ehensive framework includes an image generation network for generating high-qual ity crack images, a lightweight object detection algorithm for rapidly identifyi ng crack targets, and a high-precision semantic segmentation algorithm for accur ately extracting crack pixels. Comparative analysis with mainstream algorithms v alidates the superiority of the proposed methods."
查看更多>>摘要：Investigators discuss new findings in Robotics. According to news originating from Xi'an, People's Republic of China, by NewsRx correspondents, research stated, "A novel efficient reinforcement lear ning paradigm combining human knowledge, model-based and model-free methods is p resented for optimal robot manipulation control during complex multi-phase robot manipulation tasks, e.g., the peg-inhole tasks with tight fit and nut-and-bolt assembly. Firstly, human demonstration is conducted to collect the data during successful robot manipulation, and manipulation phase estimation method integrat ing with human knowledge is presented to obtain the higher-level planning of the multi-phase robot manipulation tasks." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Guangdong Major Project of Basic and Applied Basic Research.
查看更多>>摘要：New research on Machine Learning is th e subject of a report. According to news reporting originating from Vienna, Aust ria, by NewsRx correspondents, research stated, "Analyzing machine learning mode ls, especially nonlinear ones, poses significant challenges. In this context, ce ntered kernel alignment (CKA) has emerged as a promising model analysis tool tha t assesses the similarity between two embeddings." Our news editors obtained a quote from the research from the University of Vienn a, "CKA's efficacy depends on selecting a kernel that adequately captures the un derlying properties of the compared models. The model analysis tool was designed for neural networks (NNs) with their invariance to data rotation in mind and ha s been successfully employed in various scientific domains. However, CKA has rar ely been adopted in cheminformatics, partly because of the popularity of the ran dom forest (RF) machine learning algorithm, which is not rotationally invariant. In this work, we present the adaptation of CKA that builds on the RF kernel to match the properties of RF. As part of the method validation, we show that the m odel analysis method is well-correlated with the prediction similarity of RF mod els."
查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news originating from Manchester, United Kingdom, by NewsRx correspondents, research stated, "This paper proposes a machine learn ing-based method for predicting generator rotor angle responses (trajectories) f ollowing large disturbance in power system. A Long Short-Term Memory (LSTM)-base d Recurrent Neural Network (RNN) is used to predict responses at any time instan t after the fault inception by designing the input and output of the network wit h predefined sliding time windows." Our news journalists obtained a quote from the research from the University of M anchester, "The numbers of neurons in the LSTM and Fully-Connected (FC) layers a re optimised with the Particle Swarm Optimisation (PSO) algorithm, which was pro ved to be effective in similar tasks in past research. A wide range of realistic constraints associated with the use of the Phasor Measurement Unit (PMU) data h as been considered, to demonstrate the feasibility of the proposed method when a pplied in real systems."
查看更多>>摘要：Data detailed on artificial intelligen ce have been presented. According to news reporting from Dresden, Germany, by Ne wsRx journalists, research stated, "The prediction of system responses for a giv en fatigue test bench drive signal is a challenging problem, since highly dynami c loads from measurement campaigns must be reproduced accurately." Financial supporters for this research include European Regional Development Fun d.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsNew research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Berlin, Germany, b y NewsRx journalists, research stated, "Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic and therapeutic action. This st udy evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice." Financial supporters for this research include BMBF, Innovationsausschuss, Chari te -Universitatsmedizin Berlin.
查看更多>>摘要：Fresh data on Machine Learning -Compu tational Intelligence are presented in a new report. According to news reporting out of Wellington, New Zealand, by NewsRx editors, research stated, "Over the p ast decades, evolutionary multi-objective algorithms have proven their efficacy in feature selection. Nevertheless, a prevalent approach involves addressing fea ture selection tasks in isolation, even when these tasks share common knowledge and interdependencies."
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