查看更多>>摘要：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 reporting out of Changzhou, People's Republic of China, by NewsRx editors, research stated, "PurposeWith the popularity of hi gh-rise buildings, wall inspection and cleaning are becoming more difficult and associated with danger. The best solution is to replace manual work with wall-cl imbing robots." Financial supporters for this research include Research Fund of the State Key La boratory of Mechanics and Control for Aerospace Structures, National Natural Sci ence Foundation of China (NSFC). Our news journalists obtained a quote from the research from Hohai University, " Therefore, this paper proposes a design method for a rolling-adsorption wall-cli mbing robot (RWCR) based on vacuum negative pressure adsorption of the crawler. It can improve the operation efficiency while solving the safety http://problems.Design/methodology/approachThe pulleys and tracks are used to form a dynamic sealing chamber to improve the dy namic adsorption effect and motion flexibility of the RWCR. The mapping relation ship between the critical minimum adsorption force required for RWCR downward sl ip, longitudinal tipping and lateral overturning conditions for tipping and the wall inclination angle is calculated using the ultimate force method."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting originating from Tokyo, Japan, by NewsRx co rrespondents, research stated, "The Fukushima power station in Japan was affecte d by a major earthquake and tsunami in March 2011, inspecting the primary contai nment vessel remains difficult due to high radioactivity." Funders for this research include Japan Society For The Promotion of Science. The news reporters obtained a quote from the research from Tokyo University of A griculture and Technology: "Long-reach robot arms are useful in inspecting such hazardous environments, and a coupled tendon-driven mechanism enables realizing a long, light-weight, and thin manipulator. However, high elastic elongation of tendons due to gravity may lead to unstable joint control. In this paper, we int roduce dynamics-based control as a feasible strategy for a long-reach tendon-dri ven robotic arm. Additionally, a planning method to identify the joint angle pat h ensuring stability is proposed. Considering stability analysis, the potential due to the tendon elasticity and gravity is evaluated and used as an index of jo int stability." According to the news editors, the research concluded: "The rapidly exploring ra ndom tree is used as the planning algorithm. The effectiveness of the proposed m ethod was demonstrated through the successful manipulation of a 5-kg payload by a 10-m long robotic arm."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Waltham, Massachusetts, by NewsRx journalists, research stated, "Active nematics are dense systems of rodl ike particles that consume energy to drive motion at the level of the individual particles. They exist in natural systems like biological tissues and artificial materials such as suspensions of self-propelled colloidal particles or syntheti c microswimmers." Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE), Brandeis NSF MRSEC, National Science Found ation (NSF).
查看更多>>摘要：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 Nanning, People's Republic of China, by NewsRx correspondents, research stated, "Precise positioning of fruit and pic king point is crucial for harvesting table grapes using automated picking robots in an unstructured agricultural environment. Most studies employ multi-step met hods for locating picking points based on fruit detection, leading to slow detec tion speed, cumbersome models, and algorithmic fragmentation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of Guangxi Province. Our news journalists obtained a quote from the research from Guangxi University, "This study proposes an improved YOLOv8-GP (YOLOv8-Grape and picking point) mod el based on YOLOv8n-Pose to solve the problem of simultaneous detection of grape clusters and picking points. YOLOv8-GP is an end-to-end network that integrates object detection and key point detection. Specifically, the Bottleneck in C2f i s replaced with FasterNet Block that incorporates EMA (Efficient Multi-Scale Att ention), resulting in C2f-Faster-EMA. BiFPN is applied to substitute the origina l PAN as Neck network. The FasterNet Block, designed based on partial convolutio n (PConv), reduces redundant computation and memory access, thereby extracting s patial features more efficiently. The EMA attention mechanism achieves performan ce gains with lower computational overhead. Furthermore, BiFPN is employed to en hance the effect of feature fusion. Experimental results demonstrate that YOLOv8 -GP achieves AP of 89.7 % for grape cluster detection and a Euclid ean distance error of less than 30 pixels for picking point detection. Additiona lly, the number of Params is reduced by 47.73 %, and the model comp lexity GFlops is 6.1G."
查看更多>>摘要：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 originating in Vancouver, Canada, by NewsRx journalists, research stated, "The emergence of sophisticated Artifici al Intelligence (AI) and machine learning tools poses a challenge to archives an d records professionals, who are accustomed to understanding and documenting the activities of human agents rather than the often-opaque processes of sophistica ted AI functioning. Preliminary work has proposed the term paradata to describe the unique documentation needs that emerge for archivists using AI tools to proc ess records in their collections." Funders for this research include International Research on Permanent Authentic Records in Electronic Systems (InterPARES) Trust AI, CGIAR. The news reporters obtained a quote from the research from the University of Bri tish Columbia, "For the purposes of archivists working with AI, paradata is conc eptualized here as information recorded and preserved about records' processing with AI tools; it is a category of data that is defined both by its relationship with other datasets and by the documentary purpose it serves. This article surv eys relevant literature across three contexts to scope the relevant scholarship that archivists may draw upon to develop appropriate AI documentation practices. From the statistical social sciences and the visual heritage fields, the articl e discusses existing definitions of paradata and its ambiguous, often contextual ly dependent relationship with existing metadata categories. Approaching the pro blem from a sociotechnical perspective, literature on Explainable Artificial Int elligence (XAI) insists pointedly that explainability be attuned to specific use rs' stated needs-needs that archivists may better articulate using the framework of paradata."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published. According to news reporting originating from Med ellin, Colombia, by NewsRx editors, the research stated, "This paper explores th e challenges posed by the rapid advancement of artificial intelligence specifica lly Large Language Models (LLMs). I show that traditional linguistic theories an d corpus studies are being outpaced by LLMs' computational sophistication and lo w perplexity levels." Our news editors obtained a quote from the research from the University of Antio quia, "In order to address these challenges, I suggest a focus on language as a cognitive tool shaped by embodiedenvironmental imperatives in the context of Ag entive Cognitive Construction Grammar. To that end, I introduce an Embodied Huma n Language Model (EHLM), inspired by Active Inference research, as a promising a lternative that integrates sensory input, embodied representations, and adaptive strategies for contextualized analysis and conceptual utility maximization. By incorporating Active Inference, which sees perception as inferring the world's s tate from sensory data, the findings reveal that the characterization of the Eng lish modal be able to, as a triadic construction encoding biological intelligent agency, introduces a more plausible theoretical basis for the positing of lingu istic constructions." According to the news editors, the research concluded: "This emphasizes the cruc ial role of embodied human language models in the comprehension of how humans co nstruct preferred futures through language."
查看更多>>摘要：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 from Shenyang, People's Republic of China, b y NewsRx journalists, research stated, "Motivated by practical applications of i nspection and maintenance, we have developed a wall-climbing robot with passive compliant mechanisms that can autonomously adapt to curved surfaces. At first, t his paper presents two failure modes of the traditional wall-climbing robot on t he variable curvature wall surface and further introduces the designed passive c ompliant wall-climbing robot in detail." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from the Chinese Acad emy of Sciences, "Then, the motion mechanism of the passive compliant wall-climb ing robot on the curved surface is analyzed from stable adsorption conditions, p arameter design process, and force analysis. At last, a series of experiments ha ve been carried out on load capability and curved surface adaptability based on a developed principle prototype." According to the news reporters, the research concluded: "The experimental resul ts indicated that the wall-climbing robot with passive compliant mechanisms can effectively promote both adsorption stability and adaptability to variable curva tures."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Chemicals and Chemistr y is the subject of a report. According to news originating from Kunming, People 's Republic of China, by NewsRx correspondents, research stated, "Lanxangia tsao ko's accurate classifications of different origins and fruit shapes are signific ant for research in L. tsaoko difference between origin and species as well as f or variety breeding, cultivation, and market management. In this work, Fourier t ransform-near infrared (FT-NIR) spectroscopy was transformed into two-dimensiona l and three-dimensional correlation spectroscopies to further investigate the sp ectral characteristics of L. tsaoko." Our news journalists obtained a quote from the research from the Yunnan Academy of Agricultural Sciences, "Before building the classification model, the raw FT- NIR spectra were preprocessed using multiplicative scatter correction and second derivative, whereas principal component analysis, successive projections algori thm, and competitive adaptive reweighted sampling were used for spectral feature variable extraction. Then combined with partial least squares-discriminant anal ysis (PLS-DA), support vector machine (SVM), decision tree, and residual network (ResNet) models for origin and fruit shape discriminated in L. tsaoko. The PLS- DA and SVM models can achieve 100% classification in origin classi fication, but what is difficult to avoid is the complex process of model optimiz ation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Artificial Intelligence. According to news reporting originating from Madrid, Sp ain, by NewsRx correspondents, research stated, "Emergent technologies are frequ ently demonized due to the fear of the unknown." Our news editors obtained a quote from the research from the Polytechnic Univers ity of Madrid, "The doubts and alarms are more often than not sparked by their o wn developers, in a secret wish to become the masters of such fears, and thereby increase their control and influence upon laymen. The story is as old as the us e of fire by the sorcerers guiding most ancient rituals." According to the news editors, the research concluded: "Now it seems to be the t urn of artificial intelligence (AI), which is being continuously tainted with qu asi-apocalyptic shadows, despite its remarkable potentials for supporting highly desirable societal transformations."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Tallinn, Estonia, b y NewsRx editors, the research stated, "The extensive research in machine learni ng based Android malware detection showcases high-performance metrics through a wide range of proposed solutions. Consequently, this fosters the (mis)conception of being a solved problem, diminishing its appeal for further research." Our news editors obtained a quote from the research from the Tallinn University of Technology, "However, after surveying and scrutinizing the related literature , this deceptive deduction is debunked. In this paper, we identify five signific ant unresolved challenges neglected by the specialized research that prevent the qualification of Android malware detection as a solved problem. From methodolog ical flaws to invalid postulates and data set limitations, these challenges, whi ch are thoroughly described throughout the paper, hamper effective, long-term ma chine learning based Android malware detection." According to the news editors, the research concluded: "This comprehensive revie w of the state of the art highlights and motivates future research directions in the Android malware detection domain that may bring the problem closer to being solved."
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