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 Robotic s-Robotics and Automation. According to news originating from Beijing, People' s Republic of China, by NewsRx correspondents, research stated, "This letter int roduces a novel method for object-level relocalization of robotic systems. It de termines the pose of a camera sensor by robustly associating the object detectio ns in the current frame with 3D objects in a lightweight object-level map." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Beijing Institu te of Technology, "Object graphs, considering semantic uncertainties, are constr ucted for both the incoming camera frame and the pre-built map. Objects are repr esented as graph nodes, and each node employs unique semantic descriptors based on our devised graph kernels. We extract a subgraph from the target map graph by identifying potential object associations for each object detection, then refin e these associations and pose estimations using a RANSAC-inspired strategy."
查看更多>>摘要：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 reporting from London, United Ki ngdom, by NewsRx journalists, research stated, "Idiopathic normal pressure hydro cephalus (iNPH) is a reversible cause of dementia, typically treated with shunt surgery, although outcomes vary. Artificial intelligence (AI) advancements could improve predictions of shunt response (SR) by analyzing extensive data sets." The news correspondents obtained a quote from the research from Imperial College London, "We conducted a systematic review to assess AI's effectiveness in predi cting SR in iNPH. Studies using AI or machine learning (ML) algorithms for SR pr ediction were identified through searches in MEDLINE, EMBASE, and Web of Science up to September 2023, adhering to Synthesis Without Meta-Analysis reporting gui delines. Out of 3541 studies identified, 33 were assessed for eligibility, and 8 involving 479 patients were included. Study sample sizes varied from 28 to 132 patients. Common data inputs included imaging/radiomics (62.5%) and demographics (37.5%), with Support Vector Machine being the most f requently used ML algorithm (87.5%). Two studies compared multiple algorithms. Only four studies reported the Area Under the Curve (AUC) values, wh ich ranged between 0.80 and 0.94. The results highlighted inconsistency in outco me measures, data heterogeneity, and potential biases in the models used. While AI shows promise for improving iNPH management, there is a need for standardized data and extensive validation of AI models to enhance their clinical utility."
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-Robotics and Automation. According to news reporting originating in X i'an, People's Republic of China, by NewsRx journalists, research stated, "Synth esizing high-quality novel views is critical to extending training data for auto -driving scenes. However, existing novel view synthesis techniques rely on a sin gle-volume radiance field with uniform spatial resolution, constraining their mo del capacity and resulting in artifacts in synthesized auto-driving views." Financial support for this research came from National Key Research & Development 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 originating from Vancouver, Canada, by NewsRx corresponden ts, research stated, "Robots are challenging the traditional paradigm of constru ction. Current concerns revolve around their capabilities to finish complex assi gnments within dynamic, unstructured construction settings." Financial supporters for this research include Natural Sciences and Engineering Research Council of Canada (NSERC), China Scholarship Council. Our news journalists obtained a quote from the research from the University of B ritish Columbia, "Teleoperated robots harness human intelligence for dextrous ma nipulation, allowing robots to execute complex tasks onsite. It requires a real- time connection between human control and robot actions, which is largely achiev ed using specific controllers with low degree-of-freedom (DoF). To achieve intui tive and generalizable teleoperation, this work proposes a framework for morphol ogy agnostic gesture mapping between human hands and high DoF robots. Initially, we estimate 3D positions of hands using parametric hand models from images. Sub sequently, pose information of the human hand is mapped onto robots through reta rgeting methods for real-time control."
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 originating from Zhengzhou, People's Rep ublic of China, by NewsRx correspondents, research stated, "Fiber-reinforced pol ymer (FRP) bars are gaining popularity as an alternative to steel reinforcement due to their advantages such as corrosion resistance and high strength-to-weight ratio. However, FRP has a lower modulus of elasticity compared to steel." Financial support for this research came from Zhengzhou University. Our news editors obtained a quote from the research from Zhengzhou University, " Therefore, special attention is required in structural design to address deflect ion related issues and ensure ductile failure. This research explores the use of machine learning algorithms such as gene expression programming (GEP) to develo p a simple and effective equation for predicting the elastic modulus of hybrid f iber-reinforced polymer (HFPR) bars. A comprehensive database of 125 experimenta l results of HFPR bars was used for training and validation. Statistical paramet ers such as R2, MAE, RRSE, and RMSE are used to judge the accuracy of the develo ped model. Also, parametric analysis and SHAP analysis have been carried out to reveal the most influential factors in the predictive model. Finally, the propos ed model was compared to the available equations for elastic modulus. The result s demonstrate that the developed GEP model performance is better than that of th e traditional formula. Statistical parameters and K-fold cross-validation ensure d the accuracy and reliability of the predictive model."
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-Robotics and Automation. According to news originating from Brooklyn, N ew York, by NewsRx correspondents, research stated, "Large-scale LiDAR mappings and localization leverage place recognition techniques to mitigate odometry drif ts, ensuring accurate mapping. These techniques utilize scene representations fr om LiDAR point clouds to identify previously visited sites within a database." Funders for this research include ARO, New York University Abu Dhabi (NYUAD) Cen ter for Artificial Intelligence and Robotics (CAIR)-Tamkeen through NYUAD Rese arch Institute Award. Our news journalists obtained a quote from the research from New York University (NYU), "Local descriptors, assigned to each point within a point cloud, are agg regated to form a scene representation for the point cloud. These descriptors ar e also used to re-rank the retrieved point clouds based on geometric fitness sco res. We propose SALSA, a novel, lightweight, and efficient framework for LiDAR p lace recognition. It consists of a Sphereformer backbone that uses radial window attention to enable information aggregation for sparse distant points, an adapt ive self-attention layer to pool local descriptors into tokens, and a multi-laye r-perceptron Mixer layer for aggregating the tokens to generate a scene descript or."
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 in Beijing, People's Rep ublic of China, by NewsRx journalists, research stated, "This paper investigates the potential of transition metal sulfides (TMSs) as hydrodesulfurization (HDS) catalysts through electronic structure and bonding analysis. The HDS mechanism focuses on breaking and regenerating metal-sulfur (M-S) bonds at sulfur vacancie s, known as active sites adhering to the Sabatier principle." Financial support for this research came from State Key Laboratory of Heavy Oil Processing Independent Innovation Project.
查看更多>>摘要：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 originating from Robina, Austra lia, by NewsRx correspondents, research stated, "This survey aims to provide ins ightful and objective perspectives on the research history of quantitative portf olio management strategies with suggestions for the future of research." Our news editors obtained a quote from the research from Bond University: "The r elevant literature can be clustered into four broad themes: portfolio optimizati on, risk-parity, style integration, and machine learning. Portfolio optimization attempts to find the optimal trade-off of future returns per unit of risk. Risk -parity attempts to match the exposure of various asset classes such that no sin gle asset class dominates portfolio risk. Style integration combines risk factor s on a security level such that rebalancing differences cancel out."
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 originating from Zurich, Switzerland, by NewsRx corr espondents, research stated, "Accurately modeling soft robots in simulation is c omputationally expensive and commonly falls short of representing the real world . This wellknown discrepancy, known as the sim-to-real gap, can have several ca uses, such as coarsely approximated geometry and material models, manufacturing defects, viscoelasticity and plasticity, and hysteresis effects." Funders for this research include Credit Suisse, Switzerland, ETH AI Center, Ama zon Research Award.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cerebrovascular Diseas es and Conditions-Stroke is the subject of a report. According to news reporti ng originating from Shenyang, People's Republic of China, by NewsRx corresponden ts, research stated, "This investigation seeks to ascertain the efficacy of vari ous machine learning models in forecasting early neurological deterioration (END ) following thrombolysis in patients with acute ischemic stroke (AIS). Employing data from the Shenyang Stroke Emergency Map database, this multicenter study co mpiled information on 7,570 AIS patients from 29 comprehensive hospitals who rec eived thrombolytic therapy between January 2019 and December 2021."
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