查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-A new study on artificial intelligence is now available. According to news reporting fromMadrid, Spain, by NewsRx jou rnalists, research stated, "There are two main areas in which the Internetof Sh ips (IoS) can help: firstly, the production stage, in all its phases, from mater ial bids to manufacture,and secondly, the operation of the ship."The news reporters obtained a quote from the research from Universidad Politecni ca de Madrid:"Intelligent ship management requires a lot of information, as doe s the shipbuilding process. In thesetwo phases of the ship's life cycle, IoS ac ts as a key to the keyhole. IoS tools include sensors, processinformation and r eal-time decision-making, fog computing, or delegated processes in the cloud. Th e keypoint to address this challenge is the design phase. Getting the design pr ocess right will help in both areas,reducing costs and making agile use of tech nology to achieve a highly efficient and optimal outcome. Butthis raises a lot of new questions that need to be addressed: At what stage should we start adding controlsensors? Which sensors are best suited to our solution? Is there anythi ng that offers more than simpleidentification? As we begin the process of answe ring all these questions, we realize that a Computer AidedDesign (CAD) tool, as well as Artificial Intelligence (AI), mixed in a single tool, could significant ly help inall these processes."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting originating from Chongqing, People's Republic of China, by NewsRx correspondents, researchstated, "The granu lation of traditional Chinese medicine (TCM) has attracted widespread attention, thereis limited research on the high shear wet granulation (HSWG) and wetting mechanisms of sticky TCMpowders, which profoundly impact the granule size distr ibution (GSD). Here we investigate the wettingmechanism of binders and the infl uence of various parameters on the GSD of HSWG and establish a GSDprediction mo del."Our news editors obtained a quote from the research from the Chongqing Universit y of Scienceand Technology, "Permeability and contact angle experiments combine d with molecular dynamics (MD)simulations were used to explore the wetting mech anism of hydroalcoholic solutions with TCM powder.Machine learning (ML) was emp loyed to build a GSD prediction model, feature importance explained theinfluenc e of features on the predictive performance of the model, and correlation analys is was used toassess the influence of various parameters on GSD. The results sh ow that water increases powder viscosity,forming high-viscosity aggregates, whi le ethanol primarily acted as a wetting agent. The contact angleof water on the powder bed was the largest and decreased with an increase in ethanol concentrat ion.Extreme Gradient Boosting (XGBoost) outperformed other models in overall pr ediction accuracy in GSDprediction, the binder had the greatest impact on the p redictions and GSD, adjusting the amount andconcentration of adhesive can contr ol the adhesion and growth of granules while the impeller speed hadthe least in fluence on granulation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Current study results on Robotics have been publi shed. According to news reporting out ofHangzhou, People's Republic of China, b y NewsRx editors, research stated, "A weeding robot's workingrange and accuracy are vital indicators of the robot. Selective weeding robots can accurately weed andhave higher control requirements."Financial support for this research came from The "Pioneer" and "Leading Goose" R & D Program ofZhejiang.Our news journalists obtained a quote from the research from Zhejiang Agricultur e & Forestry University,"We designed the dynamic coverage algorit hm for mechanical selective weeding robot in differentweed distributions. The r obot comprises a control, actuator, and mobile module. The actuator moduleinclu des a four-degree-of-freedom mechanical work device. It removes weeds under crop s. The mechanicalwork device was resolved through the D-H matrix. It provided a reference for robot control and verifiedthe feasibility of the mechanism by tr ajectory simulation. The dynamic coverage algorithm autonomouslyselects the bes t algorithm by the coverage of each area. The result shows the coverage path for differentpercentages of weeds. The dynamic coverage algorithm demonstrates goo d dynamic performance indifferent weed distributions. The result compares the d ynamic coverage algorithm with the other threealgorithms (BCD algorithm, Greedy algorithm, and Segmentation-based algorithm). Our algorithm reducesthe average path of 10.9%, 16.5%, and 21.5%. Finally , we tested the robot in an indoor environment. Itcould successfully avoid the crop to complete the precise weeding work."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Detroit, Michigan, by NewsRx journalists, research stated, "To avoid risking the lives ofvictims and rescue team personnel in the event of disasters like earthquakes, volcanic erup tions, hurricanes,etc., search and rescue (SAR) robots are increasingly incorpo rated into the operation. One ofthe major challenges in integrating SAR robots into rescue operations is the potentially severely damagedinfrastructure within the disaster site."The news reporters obtained a quote from the research from the University of Det roit Mercy, "Acritical component of this is a functional communication system w hich is essential for exchanging realtimeinformation between the robots in the field and the base station (BS). Given that there might beeither limited cover age or a complete failure of standard communication systems in a severely affect eddisaster site, a novel disaster management system named Titan disaster manage ment system (DMS),which is based on low-power wide-area networks (LPWANs) LoRa technology is proposed. Its developmentconsists of three solutions, which are T itan coordination, communication, and navigation solutions. TheTitan coordinati on solution based on a robot platoon configuration has been developed to assist the rescueteam in establishing a BS within the disaster-affected area. The vict ims, the BS, and the SAR robots mayall communicate with one another using the T itan communication system. For guiding the SAR robotthrough the devastated disa ster scene, the Titan navigation solution named fuzzy inference system vectorfi eld histogram (FISVFH) was developed."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-A new study on Robotics - Robotics and Automation is now available. According tonews originating from Turin, Italy, b y NewsRx correspondents, research stated, "Model predictive control(MPC) has es tablished itself as the primary methodology for constrained control, enabling ge neral-purposerobot autonomy in diverse real-world scenarios. However, for most problems of interest, MPC relies on therecursive solution of highly non-convex trajectory optimization problems, leading to high computationalcomplexity and s trong dependency on initialization."Funders for this research include Blue Origin, NASA University Leadership Initia tive.Our news journalists obtained a quote from the research from Polytechnic Univers ity Torino, "In thiswork, we present a unified framework to combine the main st rengths of optimization-based and learningbasedmethods for MPC. Our approach e ntails embedding high-capacity, transformer-based neural networkmodels within t he optimization process for trajectory generation, whereby the transformer provi des a nearoptimalinitial guess, or target plan, to a non-convex optimization p roblem. Our experiments, performed insimulation and the real world onboard a fr ee flyer platform, demonstrate the capabilities of our frameworkto improve MPC convergence and runtime."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Robotics is the subjec t of a report. According to news reportingout of Salt Lake City, Utah, by NewsR x editors, research stated, "Tendon-driven continuum robots havebeen gaining po pularity in medical applications due to their ability to curve around complex an atomicalstructures, potentially reducing the invasiveness of surgery. However, accurate modeling is required to planand control the movements of these flexibl e robots."Financial supporters for this research include Natural Sciences and Engineering Research Council ofCanada (NSERC), National Science Foundation (NSF).Our news journalists obtained a quote from the research from the University of U tah, "Physics-basedmodels have limitations due to unmodeled effects, leading to mismatches between model prediction andactual robot shape. Recently proposed l earning-based methods have been shown to overcome some of theselimitations but do not account for hysteresis, a significant source of error for these robots. T o overcomethese challenges, we propose a novel deep decoder neural network that predicts the complete shape oftendon-driven robots using point clouds as the s hape representation, conditioned on prior configurationsto account for hysteres is."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Robotics is the subjec t of a report. According to news reporting outof Brussels, Belgium, by NewsRx e ditors, research stated, "Automatic design is an appealing approach torealizing robot swarms. In this approach, a designer specifies a mission that the swarm m ust perform, andan optimization algorithm searches for the control software tha t enables the robots to perform the givenmission."Funders for this research include European Research Council, Federation Wallonie -Bruxelles, Fonds DeLa Recherche Scientifique - FNRS.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on robotics is the subjec t of a new report. According to news reportingoriginating from Fukuoka, Japan, by NewsRx correspondents, research stated, "Aerial robot technologies,such as d rones and unmanned aerial vehicles, are rapidly advancing in various domains. Th ese robots nowpossess enhanced autonomous flying abilities and use sensor techn ology, Global Navigation Satellite System(GNSS), Light Detection and Ranging (L iDAR) system, and cameras to avoid obstacles, automaticallyland, and track flig hts."Our news journalists obtained a quote from the research from Kyushu Institute of Technology: "Evolvingtechnologies in airspace management and route optimizatio n ensure that flights are efficient and safe. Aerialrobots have a wide range of applications, such as agriculture, disaster response, environmental monitoring,and inspection. These devices excel at precise data collection thanks to their high-resolution cameras andhigh-precision sensors. Swarm robotics, which allows collaboration between multiple aerial and groundrobots, is also progressing. T his enables quick coverage of large areas, which benefits disaster relief andla nd management. In addition, research and development of flying robots modeled af ter flying animalsis underway. The evolution of aerial robots results in their efficient use in a variety of fields and newapplications."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting out of Atlanta, Georgia, by N ewsRx editors, research stated, "The effectiveness of infrastructure resilience relies on the seamless extraction of information, timely acquisition of critical knowledge, andheightened situational awareness. The ongoing utilization of dig ital citizen communication through socialmedia with response organizations duri ng disasters remains a valuable avenue for disseminating information,ensuring t he effective utilization of public resources in emergency response to crisis eve nts."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Current study results on Robotics have been publi shed. According to news reporting originatingfrom Jinan, People's Republic of C hina, by NewsRx correspondents, research stated, "Ultrawideband(UWB)-based loca lization is widely used in environments inaccessible to global navigation satell ite systemsignals."Financial supporters for this research include Natural Science Foundation of Sha ndong Province,Mexican Consejo Nacional de Ciencia y Tecnolog a (CONACyT) and S ecretar a de Educacion Publica(SEP).Our news editors obtained a quote from the research from the University of Jinan , "To improvethe precision of UWB-based localization, a robust distributed adap tive extended unbiased finite impulseresponse (EFIR) filtering algorithm is dev eloped. The algorithm is designed to reduce round-off errors andadaptively adju st noise covariances using the expectation-maximization (EM) approach."
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