查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotics. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “G01 commands are the most commonly used toolpath format in Computer Numerical Control (CNC) machining. Due to the discontinuity between adjacent linear segments, toolpath smoothing is necessary to improve machining efficiency and machined surface quality.” Financial support for this research came from National Natural Science Foundation of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Jiao Tong University, “This paper proposes an analytical C3 continuous local toolpath smoothing and synchronization method for a five-axis hybrid robot. Position and orientation smoothing are decoupled, with quintic B-spline segments replacing the original linear segments. The curvatures of the toolpath are reduced under constrained smoothing errors by weaving transition splines along the linear segments instead of confining them within the corners. A synchronization method based on arc length parameterization tailored to the smoothing method is also proposed. Tool tip position and tool axis orientation are synchronized using another monotonic, C3 continuous spline, which achieves smoother joint motion along the toolpath. For the hybrid robot with highly nonlinear kinematics, improved results in feedrate scheduling considering joint constraints can be realized.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in machine translation. According to news reporting originating from Jiangxi University of Technology by NewsRx correspondents, research stated, “Under the background of cultural globalization, English-Chinese literary translation plays an important role in which it is not only a process of language conversion, but also a process of cultural conversion.” The news editors obtained a quote from the research from Jiangxi University of Technology: “In this paper, the BiGUR-LM-Attention optimization model is fused and constructed using the WordNet semantic similarity model, GRU-LM one-way gated similarity model, and BiGR-LM two-way gated similarity model. The LDA theme model is selected to generate the 3-layer Bayesian network structure of literary works’ paragraphs, themes and words to obtain the probability information that represents the highest attention of the work’s text theme, which constitutes the attention mechanism feature word vector. Finally, five classic literary works are selected as the training corpus to compare and analyze the translation quality between machine translation and human translation in the mutual translation of English and Chinese literary works.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting out of Debrecen, Hungary, by NewsRx editors, research stated, “Over the last century, technological progress has been tremendous, and technological advancement is reflected in the development of medicine. This research assessed attitudes towards surgical robots and identified correlations with willingness to participate in robotic surgery based on factors influencing trust in automated systems.” Our news journalists obtained a quote from the research from the University of Debrecen, “Using data from a survey, which included the Multi-dimensional Robot Attitude Scale (MdRAS) and a questionnaire consisting of attitude statements regarding the factors affecting trust in automated systems, the experiment assessed the attitudes of healthcare workers and potential patients towards surgery robots, and attempted to find a correlation between these attitudes, age, and gender. Statistical evaluation of the responses (N = 197) showed that positive attitude towards surgical robots showed a high correlation with the willingness to participate in robotic surgery and gave the strongest correlations with the MdRAS utility and negative attitude towards robots subscales. For the assessment of willingness, the MdRAS subscales alone did not provide a strong enough correlation. All factors examined showed a significant correlation with participation. Having faith in the surgery robot, the propensity to trust technology, the designer’s reputation, the ease of work that a surgical robot provides, positive experience with robots, and believing the surgeon is competent at operating the machine seemed to have been the most important positive correlations, while fear of errors gave the highest negative correlation. The healthcare workers and potential patients showed significant differences in the subscales of the questionnaire perceived risk and knowledge but no significant difference in the characteristics of the surgical robot. There was no difference in willingness to participate between the samples. Age did not show a significant correlation with the score achieved and willingness in any of the samples. Significant differences were found between male and female respondents, with men having more positive attitudes and being more likely to participate in surgeries using surgery robots than women.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been presented. According to news reporting out of Sousse, Tunisia, by NewsRx editors, research stated, “The main objective of this paper is to discuss the experimental validation of a tele-operation system for remote center-of-motion tasks, such as laparoscopic surgery.” Our news journalists obtained a quote from the research from University of Sousse: “This validation is based on the use of an extra sensor placed on the master manipulator. The tele-operation system is composed of a new hybrid haptic device (nHH) intended to be used as a master manipulator controlling a collaborative robot, used as a slave surgical robot. The resolution of the forward kinematic model (FKM) of the master device is performed experimentally thanks to the use of an extra sensor. The IMU, as the extra sensor, is installed on the serial part of the nHH device to measure the orientation and is enabled to solve the FKM of the parallel part of the nHH device. The use of an extra sensor reduces the calculation time, improves the accuracy of the KFM, and makes it suitable for real-time applications. The preliminary validation of the force feedback in the nHH workspace is validated.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting out of Amsterdam, Netherlands, by NewsRx editors, research stated, “This scoping review pro- vides an overview of artificial intelligence (AI), including machine and deep learning techniques, in the interpretation of clinical needle electromyography (nEMG) signals. A comprehensive search of Medline, Embase and Web of Science was conducted to find peer-reviewed journal articles.” Our news journalists obtained a quote from the research from Amsterdam University Medical Center, “All papers published after 2010 were included. The methodological quality of the included studies was assessed with CL(checklist for artificial intelligence in medical imaging). 51 studies were identified that fulfilled the inclusion criteria. 61% used open-source EMGlab data set to develop models to classify nEMG signal in healthy, amyotrophic lateral sclerosis (ALS) and myopathy (25 subjects). Only two articles devel- oped models to classify signals recorded at rest. Most articles reported high performance accuracies, but many were subject to bias and overtraining. Current AI-models of nEMG signals are not sufficient for clin- ical implementation. Suggestions for future research include emphasizing the need for an optimal training and validation approach using large datasets of clinical nEMG data from a diverse patient population.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – 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 orig- inating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Recently, obtaining a balance of tensile strength and ductility in direct energy deposited (DED) titanium alloy com- ponents has been a major concern, which obstructs their further application. Herein, machine learning (ML) methods were applied to find the optimal process window of DEDed titanium alloy parts from a wide range of possible depositing process variables.” Financial supporters for this research include National Major Science and Tech- nology Projects of China, National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from Beihang University, “Four algorithms were used for ML model training and tensile property prediction of DEDed titanium alloy. The results showed that the prediction ability of the XGBoost model was the best.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Robotics are discussed in a new report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “In the shipbuilding industry, various workpieces are often produced in small batches. A new program must be written for new workpiece to be processed, which leads to the inefficiency of the traditional teaching programming method.” Funders for this research include National Natural Science Foundation of China (NSFC), National key research and develop-ment program.
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Dubai, United Arab Emirates, by NewsRx editors, research stated, “Building a reputed brand constitutes a priority for hospitals interested in establishing positive relationships with their stakeholders.” The news reporters obtained a quote from the research from Canadian University Dubai: “However, hospitals face different challenges: limited budgets, strict legal frameworks, etc. To overcome these challenges, many hospitals resort to online and artificial intelligence tools. This paper analyzes how hospitals manage both tools to improve their relationships with stakeholders and reinforce their brand reputation. To do that, we conducted a literature review about smart branding in hospitals, and then we defined 34 quantitative indicators to evaluate how the 100 best hospitals in Spain managed their websites, online newsrooms, about us sections and artificial intelligence departments for branding purposes.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on programmable matter have been presented. According to news originating from Moffett Field, California, by NewsRx editors, the research stated, “Versatile programmable materials have long been envisioned that can reconfigure themselves to adapt to changing use cases in adaptive infrastructure, space exploration, disaster response, and more.” The news editors obtained a quote from the research from NASA Ames Research Center: “We intro- duce a robotic structural system as an implementation of programmable matter, with mechanical perfor- mance and scale on par with conventional high-performance materials and truss systems. Fiber-reinforced composite truss-like building blocks form strong, stiff, and lightweight lattice structures as mechanical metamaterials. Two types of mobile robots operate over the exterior surface and through the interior of the system, performing transport, placement, and reversible fastening using the intrinsic lattice periodicity for indexing and metrology. Leveraging programmable matter algorithms to achieve scalability in size and complexity, this system design enables robust collective automated assembly and reconfiguration of large structures with simple robots. We describe the system design and experimental results from a 256-unit cell assembly demonstration and lattice mechanical testing, as well as a demonstration of disassembly and reconfiguration.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting out of Clayton, Australia, by NewsRx editors, research stated, “Robotic technologies have shown their potential to improve efficiency, precision, and safety for construction tasks. In this paper, the concept of design for robotic construction (DfRC) is introduced, and robotic collaborative systems are developed for the construction of load-carrying structures.” Financial supporters for this research include Australian Research Council, Australian Research Council.
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