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 originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "This paper presents the de sign, analysis, and validation of a novel redundant planar parallel continuum ma nipulator (PCM) consisting of four flexible links coupled at the rigid mid-and e nd-platform. To address complex geometry/static hybrid constraints at the rigid platforms, a general framework is developed for the kinetostatics modeling and a nalysis." Financial support for this research came from National Key Research and Developm ent Program of China.
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 Robotics is now availab le. According to news reporting from Shanghai, People's Republic of China, by Ne wsRx journalists, research stated, "Visual grasping technology plays a crucial r ole in various robotic applications, such as industrial automation, warehousing, and logistics. However, current visual grasping methods face limitations when a pplied in industrial scenarios." The news correspondents obtained a quote from the research from Shanghai Maritim e University, "Focusing solely on the workspace where the grasping target is loc ated restricts the camera's ability to provide additional environmental informat ion. On the other hand, monitoring the entire working area introduces irrelevant data and hinders accurate grasping pose estimation. In this paper, we propose a novel approach that combines a global camera and a depth camera to enable effic ient target grasping. Specifically, we introduce a dual-layer detection mechanis m based on Faster R-CNN-GRCNN. By enhancing the Faster R-CNN with attention mech anisms, we focus the global camera on the workpiece placement area and detect th e target object within that region. When the robot receives the command to grasp the workpiece, the improved Faster R-CNN recognizes the workpiece and guides th e robot towards the target location. Subsequently, the depth camera on the robot determines the grasping pose using Generative Residual Convolutional Neural Net work and performs the grasping action."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting out of Livermore, California, by NewsRx editors, research stated, "Improved understanding of proton transfer in nanopore s is critical for a wide range of emerging applications, yet experimentally prob ing mechanisms and energetics of this process remains a significant challenge. T o help reveal details of this process, we developed and applied a machine learni ng potential derived from first-principles calculations to examine water reactiv ity and proton transfer in TiO slit-pores." Our news journalists obtained a quote from the research from Lawrence Livermore National Laboratory, "We find that confinement of water within pores smaller tha n 0.5 nm imposes strong and complex effects on water reactivity and proton trans fer. Although the proton transfer mechanism is similar to that at a TiO interfac e with bulk water, confinement reduces the activation energy of this process, le ading to more frequent proton transfer events. This enhanced proton transfer ste ms from the contraction of oxygen-oxygen distances dictated by the interplay bet ween confinement and hydrophilic interactions. Our simulations also highlight th e importance of the surface topology, where faster proton transport is found in the direction where a unique arrangement of surface oxygens enables the formatio n of an ordered water chain."
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 - Roboti cs and Automation are discussed in a new report. According to news reporting ori ginating from Cambridge, Massachusetts, by NewsRx correspondents, research state d, "This letter proposes an approach to build 3D scene graphs in arbitrary indoo r and outdoor environments. Such extension is challenging; the hierarchy of conc epts that describe an outdoor environment is more complex than for indoors, and manually defining such hierarchy is time-consuming and does not scale." Financial support for this research came from ARL DCIST Program. Our news editors obtained a quote from the research from the Massachusetts Insti tute of Technology, "Furthermore, the lack of training data prevents the straigh tforward application of learning-based tools used in indoor settings. To address these challenges, we propose two novel extensions. First, we develop methods to build a spatial ontology defining concepts and relations relevant for indoor an d outdoor robot operation. In particular, we use a Large Language Model (LLM) to build such an ontology, thus largely reducing the amount of manual effort requi red. Second, we leverage the spatial ontology for 3D scene graph construction us ing Logic Tensor Networks (LTN) to add logical rules, or axioms (e.g., 'a beach contains sand'), which provide additional supervisory signals at training time t hus reducing the need for labelled data, providing better predictions, and even allowing predicting concepts unseen at training time."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Punjab, Pak istan, by NewsRx correspondents, research stated, "Visually impaired individual faces many challenges when comes to object recognition and routing inside or out ." Our news journalists obtained a quote from the research from University of Engin eering and Technology: "Despite the availability of numerous visual assistance s ystems, the majority of these system depends on English auditory feedback, which is not effective for the Pakistani population, since a vast population of Pakis tanis cannot comprehend the English language. The primary object of this study i s to consolidate the present research related to the use of Urdu auditory feedba ck for currency and Urdu text detection to assist a visually impaired individual in Pakistan. The study conducted a comprehensive search of six digital librarie s, resulting in 50 relevant articles published in the past five years. Based on the results, a taxonomy of visual assistance was developed, and general recommen dations and potential research directions were provided. The study utilized firm inclusion/exclusion criteria and appropriate quality assessment methods to mini mize potential biases. Results indicate that while most research in this area fo cuses on navigation assistance through voice audio feedback in English, the majo rity of the Pakistani population does not understand the language rendering such systems inefficient."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Artificial Intelli gence. According to news reporting from Denver, Colorado, by NewsRx journalists, research stated, "This paper presents a comprehensive framework for expert-augm ented supervised feature selection, addressing pre-processing, in-processing, an d postprocessing aspects of Explainable Artificial Intelligence (XAI). As part of pre-processing XAI, we introduce the Probabilistic Solution Generator through the Information Fusion (PSGIF) algorithm, leveraging ensemble techniques to enh ance the exploration and exploitation capabilities of a Genetic Algorithm (GA)." The news correspondents obtained a quote from the research from the University o f Colorado Denver, "Balancing explainability and prediction accuracy, we formula te two multi -objective optimization models that empower expert(s) to specify a maximum acceptable sacrifice percentage. This approach enhances explainability b y reducing the number of selected features and prioritizing those considered mor e relevant from the domain expert ' s perspective. This contribution aligns with in-processing XAI, incorporating expert opinions into the feature selection pro cess as a multi -objective problem. Traditional feature selection techniques lac k the capability to efficiently search the solution space considering our explai nability-focused objective function. To overcome this, we leverage the Genetic A lgorithm (GA), a powerful metaheuristic algorithm, optimizing its parameters thr ough Bayesian optimization. For post-processing XAI, we present the Posterior En semble Algorithm (PEA), estimating the predictive power of features. PEA enables a nuanced comparison between objective and subjective importance, identifying f eatures as underrated, overrated, or appropriately rated. We evaluate the perfor mance of our proposed GAs on 16 publicly available datasets, focusing on predict ion accuracy in a single objective setting. Moreover, we test our multi -objecti ve model on a classification dataset to show the applicability and effectiveness of our framework."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting out of Storrs,Connecticut, by NewsRx editors, research stated, "We integrate observations and simulated data from physics-base d models with observations and machine learning (ML) algorithms to assess and pr edict lake dissolved oxygen (DO) and Apparent Oxygen Utilization (AOU). DO is a proxy of hypoxia, and AOU a proxy of respiration processes and biological activi ty." Financial support for this research came from Department of Education's Graduate Assistantships in Areas of National Need (GAANN) project "Environmental Enginee ring at the Forefront of Water Science, Policy and Education."
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 Robotics. According to news reporting from Udine, Italy, by NewsRx journalists, research stated, "In robotics, a field of research still populated by prototypes , much of the research is made through videos and pictures of robots. We study h ow the highly human-like robot Sophia is perceived through a YouTube video." The news correspondents obtained a quote from the research from the University o f Udine, "Often researchers take for granted in their experiments that people pe rceive humanoids as such. With this study we wanted to understand to what extent a convenience sample of university students perceive Sophia's human-likeness; s econd, we investigated which mental capabilities and emotions they attribute to her; and third, we explored the possible uses of Sophia they imagine. Our findin gs suggest that the morphological human-likeness of Sophia, through the video, i s not salient in the Sophia's representations of these participants. Only some m ental functions are attributed to Sophia and no emotions."
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 out of the Universitat Jaume I by NewsRx edi tors, research stated, "Zebrafish (Danio rerio) have emerged as a valuable anima l model for neurobehavioral research, particularly in the study of anxiety-relat ed states." Funders for this research include Generalitat Valenciana; Universitat Jaume I; M inisterio De Ciencia, Innovacion Y Universidades. The news journalists obtained a quote from the research from Universitat Jaume I : "This article explores the use of conceptual models to investigate stress, fea r, and anxiety in zebrafish induced by bio-inspired mini-robotic fish with diffe rent components and designs. The objective is to optimize robotic biomimicry and its impact on fish welfare."
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 reporting from Guangdong, People's Republic of Chi na, by NewsRx journalists, research stated, "Recently, using well-known data to drive the chemical feature of catalysts for the specified reaction has emerged a s a prevalent approach in catalysis science. Amines as essential compounds play crucial roles in living organisms, pharmaceutical, agricultural applications, an d various chemical reactions." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Project of State Key Labo- ratory of Inorganic Synthesi s and Preparation of Jilin University, Guangdong Basic and Applied Basic Researc h Foundation.
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