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 are disc ussed in a new report. According to news reporting out of Stuttgart, Germany, by NewsRx editors, research stated, “Collective robotic construction (CRC) is an e merging approach to construction automation based on the collaboration among tea ms of small mobile robots. This paper enhances an existing modular CRC system, s howcasing its capability to assemble full-scale in -plane timber structures.” Financial supporters for this research include German Research Foundation (DFG), Federal Institute for Research on Building, Urban Affairs and Spatial Developme nt.
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 artificial intelligence is now available. According to news reporting out of Ivan Franko National Unive rsity of Lviv by NewsRx editors, research stated, “Robotic systems are software and algorithms used to mechanize iterative human processes.” Our news correspondents obtained a quote from the research from Ivan Franko Nati onal University of Lviv: “Robotic Process Automation (RPA) operates based on sim ple principles and business logic, enabling it to engage with various informatio n systems by using pre-existing graphical user interfaces. The process is the us e of non-invasive software robots, often referred to as “bots,” to automate acti ons that are repetitive in nature and governed by predefined rules. The integrat ion of data analytics, artificial intelligence (AI), process mining, and cogniti ve computing is now being used to expand the capabilities of RPA, enabling it to do more intricate jobs. This study investigates the progress made in robotic sy stems and the interaction between humans and robots in Industry 4.0 context. The paper examines the use of RPA, the incorporation of AI into robotic systems, an d the advancement of autonomous driving and mobile robots.”
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 Hanoi, Vietnam, by NewsRx journalists, rese arch stated, “Trajectory tracking control for robot manipulators is an attractiv e topic in the research community.” Our news editors obtained a quote from the research from University of Economics : “This is a challenging problem because robot manipulators are complex nonlinea r systems. Furthermore, the tracking control performance for robot manipulators is greatly affected by input constraints and external disturbances. This paper p roposes a novel $ H_{\ infty } $ optimal controller for robot manipulators with asymmet ric input constraints and external disturbances based on adaptive dynamic progra mming (ADP). Firstly, a strict feedback nonlinear system is used to represent th e robot manipulator dynamics, and then a feedforward controller is designed to c onstruct the tracking error dynamics. Secondly, a value function is introduced, and the Hamilton-Jacobi-Isaacs equation is made and approximated online by the p rinciple of adaptive dynamic programming. Thirdly, the optimal control law and d isturbance compensation law are determined.”
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 - Ro botics and Automation have been published. According to news reporting out of Ne wcastle upon Tyne, United Kingdom, by NewsRx editors, research stated, “In this letter, we propose rWiFiSLAM, an indoor localisation system based on WiFi rangin g measurements. Indoor localisation techniques play an important role in mobile robots when they cannot access good quality GPS signals in indoor environments.” Our news journalists obtained a quote from the research from Newcastle Universit y, “Indoor localisation also has many other applications, such as rescue, smart buildings, etc. Inertial Measurement Units (IMU) have been used for Pedestrian D ead Reckoning (PDR) to provide localisation services in the indoor environment a s it does not rely on any other signals. Although PDR is a promising technique, it still suffers from unavoidable noise and bias from IMUs in mobile devices. Lo op closure is necessary for these scenarios. In this letter, we design an effici ent loop closure mechanism based on WiFi ranging measurements along with IMU mea surements in a robust pose graph SLAM framework for indoor localisation. One nov elty of the proposed method is that we remove the requirement of the full knowle dge of the WiFi access point locations, which makes our proposed method feasible for new and/or dynamic environments.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting from Cangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “Intramedullary nail fixation of i ntertrochanteric fractures assisted by orthopedic surgical robot navigation is a new surgical method, but there are few studies comparing its efficacy with trad itional intramedullary nail fixation. We aimed to assess whether robot-assisted internal fixation confers certain surgical advantages through a literature revie w.” The news correspondents obtained a quote from the research from the Department o f Orthopedics, “PubMed, EMBASE, Cochrane Library, China National Knowledge Infra structure (CNKI) and Wan fang Data Knowledge service Platform were searched to c ollect randomized and non-randomized studies on patients with calcaneal fracture s. Five studies were identified to compare the clinical indexes. For the clinica l indexes, the technology of robot-assisted is generally feasible, in time to op eration, intraoperative fluoroscopy times, blood loss, pine insertion, tip apex distance (TAD), and Harris score (P <0.05). However, on th e complication and excellent and good rate after operation did not show good eff icacy compared with the traditional group (P > 0.05). Ba sed on the current evidence, For the short-term clinical index, the advantages o f robot-assisted are clear. The long-term clinical effects of the two methods ar e also good, but the robot-assisted shows better.”
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 artificial intelligence. According to news originating from Dr. Vishwanath Karad MIT World Peace University by NewsRx editors, the research stated, “Humans’ abi lity to manage their emotions has a big impact on their ability to plan and make decisions.” Our news reporters obtained a quote from the research from Dr. Vishwanath Karad MIT World Peace University: “In order to better understand people and improve hu man-machine interaction, researchers in affective computing and artificial intel ligence are investigating the detection and recognition of emotions. However, di fferent cultures have distinct ways of expressing emotions, and the existing emo tion recognition datasets and models may not effectively capture the nuances of the Indian population. To address this gap, this study proposes custom-built lig htweight Convolutional Neural Network (CNN) models that are optimized for accura cy and computational efficiency. These models are trained and evaluated on two I ndian emotion datasets: The Indian Spontaneous Expression Dataset (ISED) and the Indian Semi Acted Facial Expression Database (iSAFE). The proposed CNN model wi th manual feature extraction provides remarkable accuracy improvement of 11.14% for ISED and 4.72% for iSAFE datasets as compared to baseline, whi le reducing the training time. The proposed model also surpasses the accuracy pr oduced by pre-trained ResNet-50 model by 0.27% ISED and by 0.24% for the iSAFE dataset with significant improvement in training time of approxima tely 320 s for ISED and 60 s for iSAFE dataset.”
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 the University of Delaware by NewsRx journalists, research stated, “This paper presents a modular approach to motion planning with provable stability guarantees for robots that move through changin g environments via periodic locomotion behaviors.” Financial supporters for this research include Division of Computer And Network Systems; Division of Information And Intelligent Systems.
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 out of Tempe, Arizona, by NewsRx edi tors, research stated, “Data collection at X-ray free electron lasers has partic ular experimental challenges, such as continuous sample delivery or the use of n ovel ultrafast high-dynamic-range gain-switching X-ray detectors. This can resul t in a multitude of data artefacts, which can be detrimental to accurately deter mining structure-factor amplitudes for serial crystallography or single-particle imaging experiments.” Funders for this research include National Science Foundation (NSF), Biodesign C enter for Applied Structural Discovery at Arizona State University, United State s Department of Energy (DOE).
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 artific ial intelligence. According to news reporting out of Wollega University by NewsR x editors, research stated, “Automated disease diagnosis and prediction, powered by AI, play a crucial role in enabling medical professionals to deliver effecti ve care to patients.”The news reporters obtained a quote from the research from Wollega University: “ While such predictive tools have been extensively explored in resource-rich lang uages like English, this manuscript focuses on predicting disease categories aut omatically from symptoms documented in the Afaan Oromo language, employing vario us classification algorithms. This study encompasses machine learning techniques such as support vector machines, random forests, logistic regression, and Naive Bayes, as well as deep learning approaches including LSTM, GRU, and Bi-LSTM. Du e to the unavailability of a standard corpus, we prepared three data sets with d ifferent numbers of patient symptoms arranged into 10 categories. The two featur e representations, TF-IDF and word embedding, were employed. The performance of the proposed methodology has been evaluated using accuracy, recall, precision, a nd F1 score. The experimental results show that, among machine learning models, the SVM model using TF-IDF had the highest accuracy and F1 score of 94.7% , while the LSTM model using word2vec embedding showed an accuracy rate of 95.7% and F1 score of 96.0% from deep learning models.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting from Warsaw, Poland, by NewsRx journalists, research stated, “In the paper, we present the use of various models based on standard a lgorithms, ensemble methods, and neural networks for the fast prediction of the optical properties of nanostructured fibers. Such fibers are fabricated from sev eral thousand elements, the spatial distribution of which determines the optical properties of the fiber.” Financial support for this research came from MAESTRO within the National Scienc e Centre, Poland.
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