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 Hebei University of Water Re sources and Electric Engineering by NewsRx editors, research stated, “Currently, the obstacle avoidance control of patrol robots based on intelligent vision lac ks professional controller module assistance.” The news editors obtained a quote from the research from Hebei University of Wat er Resources and Electric Engineering: “Therefore, this paper proposes a design method of intelligent controller for obstacle avoidance and navigation of electr ical inspection mobile robot based on PLC control. The controller designs a lase r range finder to determine the required position of electrical patrol inspectio n. Use PLC as the core controller, and combine sensors, actuators, communication module and PLC selection module in the process of hardware design to achieve au tonomous navigation and obstacle avoidance functions of the robot. Then design t he software including the PLC compiler system and the virtual machine module. Ba sed on the above steps, design the control module of obstacle avoidance navigati on, which realizes the key link of robot autonomous navigation.”
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 originating from Leuven, Belgium, by NewsRx corres pondents, research stated, “Surface defects and internal porosities resulting fr om the additive manufacturing process contribute to a scatter in fatigue lifetim e, increasing uncertainty in applications such as aerospace engineering. This st udy proposes a combined approach of machine learning and finite element modellin g to explore the interaction between random porosity distribution and high surfa ce roughness on the fatigue lifetime of micro -sized additively manufactured par ts.” Financial support for this research came from China Scholarship Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating from Ultimo, Australia, by NewsRx correspondents, research stated, “Electroencephalogram (EEG)-based bra in-computer interfaces (BCI) have been considered a prevailing noninvasive metho d for collecting human biomedical signals by attaching electrodes to the scalp. However, it is difficult to detect and use these signals to control an online BC I robot in a real environment owing to environmental noise.”
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 originating from Assiut, Egypt, by NewsRx correspondents, research stated, “Robotic manipulators are being widely used in industrial operations and healthcare due to their versatile functionalities.” Our news reporters obtained a quote from the research from Faculty of Engineerin g: “However, the confined workspace of fixed robotic arms limits their applicabi lity in scenarios requiring a broader range of configurations. To overcome this limitation, this research provides a case study on a robotic system composed of two primary subsystems an articulated robotic arm and a linear rail. A simple pa th planning task was carried out using CoppeliaSim simulation software to study the effect of Ruckig, an advanced online trajectory generation algorithm, alongs ide the RRT-Connect path planning algorithm. this study demonstrates the capacit y of Ruckig to improve the efficiency of path planning regarding the processing time and path length. The results showed that Ruckig helped reducing the process time by 90% with an exceptional improvement to the motion profile s of the system. Regarding the path length, it seems that it was able to decreas e the length in certain cases, but not all.”
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 ar tificial intelligence. According to news originating from Ranshofen, Austria, by NewsRx editors, the research stated, “In industrial practice, no sensors capabl e of obtaining microstructural information in situ during thermo-mechanical proc essing of Al alloys are commonly employed.” Financial supporters for this research include Osterreichische Forschungsforderu ngsgesellschaft; Interreg.
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 the University of Abomey-Calavi by NewsRx correspondents, research stated, “Cereals are sensit ive to small changes in complex combinations of biotic and abiotic factors. Such a complexity can be deciphered using techniques such as Machine learning (ML).” Our news editors obtained a quote from the research from University of Abomey-Ca lavi: “Using the PRISMA approach, this paper explores the features and ML techni ques in cereal yield prediction based on 115 articles from 2007 to 2023 in six d atabases. Results showed that most data in the articles were from secondary sour ces and only 28.68% used experiments or primary data. China (31) a nd the United States (18) contributed most. Wheat (48%), maize (33% ), and rice (17%) represented the most studied cereals. Climate, re mote sensing data, and soil parameters were the most used predictors. The most f requently used ML techniques for cereal prediction were support vector machine ( SVM) (51%), multilayer perceptron (MLP) (41%), linear regression (34%), random forest (RF) (24%), and XGBoo st (20%). However, RF, MLP, and SVM models were the best-performing techniques to predict grain yield based on reported R-square and mean absolute error (MAE).”
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 originating from Athlone, Ireland, by NewsRx correspondents, research stated, “Recent breakthroughs in hierarchical multi-ag ent deep reinforcement learning (HMADRL) are propelling the development of sophi sticated multi-robot systems, particularly in the realm of complex coordination tasks.” Financial supporters for this research include Confirm Centre For Smart Manufact uring Funded By The Science Foundation Ireland; European Regional Development Fu nd.
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 Almaty, Kazakhstan, by NewsRx corresp ondents, research stated, “This research focuses on developing an artificial vis ion system for a flexible delta robot manipulator and integrating it with machin e-to-machine (M2M) communication to optimize real-time device interaction.” Funders for this research include Science Committee of The Ministry of Science A nd Higher Education of The Republic of Kazakhstan.
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 Seattle, Washington, by News Rx correspondents, research stated, “Suction-based robotic grippers are common i n industrial applications due to their simplicity and robustness but struggle wi th geometric complexity. Grippers that can handle varied surfaces as easily as t raditional suction grippers would be more effective.” Financial support for this research came from National Science Foundation (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 Ma chine Learning. According to news originating from Porto, Portugal, by NewsRx co rrespondents, research stated, “This article comprehensively reviews the emergin g concept of Internet of Intelligent Things (IoIT), adopting an integrated persp ective centred on the areas of embedded systems, edge computing, and machine lea rning. With rapid developments in these areas, new solutions are emerging to add ress previously unsolved problems, demanding novel research and development para digms.” Financial support for this research came from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES).
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