查看更多>>摘要：New research on robotics is the subject of a new report. According to news reporting from Kiryu, Japan, by NewsRx journalists, research stated, “Autonomous mobile robots have become integral to daily life, providing crucial services across diverse domains.” Our news journalists obtained a quote from the research from Gunma University: “This paper focuses on path following, a fundamental technology and critical element in achieving autonomous mobility. Existing methods predominantly address tracking through steering control, neglecting velocity control or relying on path-specific reference velocities, thereby constraining their generality. In this paper, we propose a novel approach that integrates the conventional pure pursuit algorithm with deep reinforcement learning for a nonholonomic mobile robot. Our methodology employs pure pursuit for steering control and utilizes the soft actor-critic algorithm to train a velocity control strategy within randomly generated path environments. Through simulation and experimental validation, our approach exhibits notable advancements in path convergence and adaptive velocity adjustments to accommodate paths with varying curvatures.”
查看更多>>摘要：Researchers detail new data in Machine Learning. According to news originating from Barcelona, Spain, by NewsRx correspondents, research stated, “ABS T R A C T The increase in renewable energy sources and new technologies such as electric vehicles and storage can generate uncertainties in distribution grid operations, increasing the likelihood of congestions in power lines. Distribution system operators (DSOs) face several challenges while operating their grids in such conditions.” Financial supporters for this research include Project consortium of the research project FINE, Research Council of Norway, European Union (EU).
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news reporting from the Indraprastha Institute of Information Technology Delhi by NewsRx journalists, research stated, “Inaccuracy in the All Indian Summer Monsoon Rainfall (AISMR) forecast has major repercussions for India’s economy and people’s daily lives.” The news editors obtained a quote from the research from Indraprastha Institute of Information Technology Delhi: “Improving the accuracy of AISMR forecasts remains a challenge. An attempt is made here to address this problem by taking advantage of recent advances in machine learning techniques.” According to the news editors, the research concluded: “The data-driven models trained with historical AISMR data, the Nino3.4 index, and categorical Indian Ocean Dipole values outperform the traditional physical models, and the best-performing model predicts that the 2023 AISMR will be roughly 790 mm, which is typical of a normal monsoon year.”
查看更多>>摘要：Investigators publish new report on robotics and artificial intelligence. According to news reporting originating from Madrid, Spain, by NewsRx correspondents, research stated, “Agriculture 4.0 presents several challenges for the automation of various operations, including the fundamental task of harvesting.” The news reporters obtained a quote from the research from Centre for Automation and Robotics (CAR): “One of the crucial aspects in the automatic harvesting of high value crops is the grip and detachment of delicate fruits without spoiling them or interfering with the environment. Soft robotic systems, particularly soft grippers, offer a promising solution for this problem, as they can operate in unstructured environments, manipulate objects delicately, and interact safely with humans. In this context, this article presents a soft gripper design for harvesting as well as for pick-and-place operations of small and medium-sized fruits. The gripper is fabricated using the 3D printing technology with a flexible thermoplastic elastomer filament.”
查看更多>>摘要：Research findings on Robotics are discussed in a new report. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Autonomous robotic welding based on real-time seam tracking has shown excellent prospects in the field of intelligent manufacturing. In previous research, real-time seam tracking requires teaching trajectories, which has significant limitations.” Funders for this research include Research and Development Program in Key Areas of Guangdong Province, National Natural Science Foundation of China (NSFC), Key R&D Program of Guangdong Province, National Natural Science Foundation of Guangdong Province, Young Elite Scientists Sponsorship Program by the China Association for Science and Technology, Young Talent Support Project of the Guangzhou Association for Science and Technology.
查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, there has been a notable upsurge within the drilling industry regarding the construction of machine learning models that leverage logging parameters to augment decision-making processes. When building these models, the logging parameters are usually assumed to be fully accessible.” Funders for this research include National Science Fund for Distinguished Young Scholars, National Key Research and Development Project of China, China Scholarship Council.
查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting out of Munich, Germany, by NewsRx editors, research stated, “Risk stratification for mitral valve transcatheter edge-to-edge repair (M-TEER) is paramount in the decision-making process to appropriately select patients with severe secondary mitral regurgitation (SMR). This study sought to develop and validate an artificial intelligence-derived risk score (EuroSMR score) to predict 1-year outcomes (survival or survival + clinical improvement) in patients with SMR undergoing M-TEER.” Our news journalists obtained a quote from the research from German Center for Cardiovascular Research, “An artificial intelligence-derived risk score was developed from the EuroSMR cohort (4172 and 428 patients treated with M-TEER in the derivation and validation cohorts, respectively). The EuroSMR score was validated and compared with established risk models. The EuroSMR risk score, which is based on 18 clinical, echocardiographic, laboratory, and medication parameters, allowed for an improved discrimination of surviving and non-surviving patients (hazard ratio 4.3, 95% confidence interval 3.7-5.0; P<.001), and outperformed established risk scores in the validation cohort. Prediction for 1-year mortality (area under the curve: 0.789, 95% confidence interval 0.737-0.842) ranged from <5% to >70%, including the identification of an extreme-risk population (2.6% of the entire cohort), which had a very high probability for not surviving beyond 1 year (hazard ratio 6.5, 95% confidence interval 3.0-14; P<.001). The top 5% of patients with the highest EuroSMR risk scores showed event rates of 72.7% for mortality and 83.2% for mortality or lack of clinical improvement at 1-year follow-up. The EuroSMR risk score may allow for improved prognostication in heart failure patients with severe SMR, who are considered for a M-TEER procedure.”
查看更多>>摘要：Data detailed on robotics have been presented. According to news reporting from Seoul, South Korea, by NewsRx journalists, research stated, “Fishing nets are dangerous obstacles for an underwater robot whose aim is to reach a goal in unknown underwater environments. This paper proposes how to make the robot reach its goal, while avoiding fishing nets that are detected using the robot’s camera sensors.” Financial supporters for this research include National Research Foundation of Korea; Faculty Research Fund of Sejong University. Our news correspondents obtained a quote from the research from Sejong University: “For the detection of underwater nets based on camera measurements of the robot, we can use deep neural networks. Passive camera sensors do not provide the distance information between the robot and a net. Camera sensors only provide the bearing angle of a net, with respect to the robot’s camera pose. There may be trailing wires that extend from a net, and the wires can entangle the robot before the robot detects the net. Moreover, light, viewpoint, and sea floor condition can decrease the net detection probability in practice. Therefore, whenever a net is detected by the robot’s camera, we make the robot avoid the detected net by moving away from the net abruptly. For moving away from the net, the robot uses the bounding box for the detected net in the camera image. After the robot moves backward for a certain distance, the robot makes a large circular turn to approach the goal, while avoiding the net.”
查看更多>>摘要：Investigators publish new report on robotics. According to news originating from the Holon Institute of Technology by NewsRx editors, the research stated, “A Jigsaw activity represents an educational approach providing students opportunities to exercise collaborative learning targeting topics from across domains and levels including those addressing innovative technologies.” Our news reporters obtained a quote from the research from Holon Institute of Technology: “This paper presents our efforts targeting a Jigsaw workshop addressing educational activities enhanced by Social Robots (SR). SR includes AI-enabled features becoming accessible through software affording to develop motivating and engaging cooperative learning processes. In light of these trends, we present a Jigsaw learning activity we conducted and supported by a Social Robot (SR). We conducted the activity as part of a mutual effort exercised by the authors of this paper in the framework of an Erasmus+ project in Social Robotics involving German and Israeli higher education Institutions. We examined this activity while focusing on various aspects corresponding to its interrelated phases and the educational interactions exercised by students. Results reveal a high potential for applying Jigsaw learning activities in groups of international students.”
查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting out of Stockholm, Sweden, by NewsRx editors, research stated, “Despite the widespread recognition of the importance of artificial intelligence (AI) in healthcare, its implementation is often limited. This article aims to address this implementation gap by presenting insights from an in-depth case study of an organisation that approached AI implementation with a holistic approach.” Our news journalists obtained a quote from the research from the Stockholm School of Economics, “We conducted a longitudinal, qualitative case study of the implementation of AI in radiology at a large academic medical centre in the Netherlands for three years. Collected data consists of 43 days of work observations, 30 meeting observations, 18 interviews and 41 relevant documents. Abductive reasoning was used for systematic data analysis, which revealed three change initiative themes responding to specific AI implementation challenges. This study identifies challenges of implementing AI in radiology at different levels and proposes a holistic approach to tackle those challenges. At the technology level, there is the issue of multiple narrow AI applications with no standard use interface; at the workflow level, AI results allow limited interaction with radiologists; at the people and organisational level, there are divergent expectations and limited experience with AI. The case of Southern illustrates that organisations can reap more benefits from AI implementation by investing in long-term initiatives that holistically align both social and technological aspects of clinical practice. This study highlights the importance of a holistic approach to AI implementation that addresses challenges spanning technology, workflow, and organisational levels. Aligning change initiatives between these different levels has proven to be important to facilitate wide-scale implementation of AI in clinical practice. Adoption of artificial intelligence is crucial for future-ready radiological care. This case study highlights the importance of a holistic approach that addresses technological, workflow, and organisational aspects, offering practical insights and solutions to facilitate successful AI adoption in clinical practice. 1. Practical and actionable insights into successful AI implementation in radiology are lacking. 2. Aligning technology, workflow, organisational aspects is crucial for a successful AI implementation 3.”
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Oxford Univ Press