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    Findings on Robotics Detailed by Investigators at Nanyang Technological Universi ty (Safe Human Dual-robot Interaction Based On Control Barrier Functions and Coo peration Functions)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reportingout of Singapore, Singapore, by New sRx editors, research stated, "Nowadays, humans are allowed to workside-by-side with a robot team, which consists of dual robots in most cases. To ensure human safety, themotion of each robot should be reactive to and compliant with human s via human-in-the-loop control."Financial support for this research came from National Research Foundation, Sing apore, under theNRF Medium Sized Centre scheme (CARTIN).Our news journalists obtained a quote from the research from Nanyang Technologic al University,"Furthermore, when the robots conduct a cooperative task, the rea ctive and compliant motion of eachrobot must fulfill the constraints imposed by the cooperation with the other robot. It is challenging toguarantee human safe ty and robot cooperation simultaneously, especially in a decentralized architecture. This letter presents a decentralized control framework that guarantees both human safety and robotcooperation in human dual-robot interaction. First, the high-order time-varying control barrier functions(HO-TV-CBFs) are defined to re present human safety, based on which a safety control set is formulatedto guara ntee human safety. Second, the cooperation functions are introduced to abstract the cooperationconstraints of different cooperative tasks of dual robots, which are further guaranteed by a cooperationcontrol set. Then, a centralized contro l framework based on the safety and cooperation control setsis constructed. Fin ally, the centralized control framework is decentralized while maintaining the s ameperformance."

    Recent Studies from State University Add New Data to Machine Learning (Predictio n of Secondary Metabolites In Maize Under Different Nitrogen Inputs By Hyperspec tral Sensing and Machine Learning)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Investigators discuss new findings in Machine Lea rning. According to news reporting originating inSinop, Brazil, by NewsRx journ alists, research stated, "Flavonoids are compounds resulting from secondaryplan t metabolism that provide benefits to human health by food. This study aimed to accuracy of predictingflavonoids in maize plants subjected to different nitroge n rates using hyperspectral reflectance and machinelearning (ML) algorithms."Financial supporters for this research include Universidade Federal de Mato Gros so do Sul (UFMS),Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Apoio ao Desenvolvimentodo Ensino Ciencia e Tecnologia do E stado de Mato Grosso do Sul (FUNDECT MS), SIAFEM,SIAFIC, Coordenacao de Aperfei coamento de Pessoal de Nivel Superior (CAPES).

    Findings on Machine Learning Reported by Investigators at Kalasalingam Academy o f Research and Education (Machine Learning-based Ddos Attack Detection and Mitig ation In Sdns for Iot Environments)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Machine Learn ing have been published. According to newsreporting originating in Krishnankoil , India, by NewsRx journalists, research stated, "Software-definednetwork (SDN) platforms play a key role in providing security against today's Internet attack s. SDNsdecouple the control plane from the data plane to maximize network perfo rmance."The news reporters obtained a quote from the research from the Kalasalingam Acad emy of Researchand Education, "A DDOS attack is one of several in cloud-based n etworks. SDNs play a crucial role incontrolling DDoS attacks and protecting end nodes like IoT nodes, as well as other computing devices,in large-scale cloud networks. This paper provides an efficient approach to DDoS attack detection andprevention using machine learning algorithms. The paper analyses the performanc e of SDNs in IoTsystems, incorporating a huge set of computing devices that use multi-controllers. It also proposes aneffective method to handle DDoS attacks. DDoS attacks are generated from IoT end devices in theinfrastructure layer, wh ich targets resources via an SDN-controlled testbed. The proposed ML methodoutp erforms existing methods in terms of accurately and effectively detecting and mi tigating floodingDDoS attacks with 99.99% accuracy."

    Researchers at Indian Institute for Technology Target Robotics (Virtual Holonomi c Constraints Based Super Twisting Sliding Mode Control for Motion Control of Pl anar Snake Robot In the Uncertain Underwater Environment)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reportingoriginating from Gauhati, India, by NewsRx correspondents, research stated, "In this article, the snake robothavin g nine links with eight joints is considered for serpentine motion in the underw ater environment.The movement of a snake robot occurs due to nonlinear drag for ces and fluidic torque in underwaterconditions."Funders for this research include IITG Technology Innovation and Development Fou ndation (IITGTIDF), Department of Science & Technology (India).Our news editors obtained a quote from the research from Indian Institute for Te chnology, "Theuncertainties in drag forces and fluidic torque are considered to track the head angle and tangentialvelocity in this work. The virtual holonomi c constraints are formulated to track all the joints by designinga controller f or single joint. The parameters of gait pattern are obtained using the sliding s urface. Thesliding surface is formulated for head link angle and velocity track ing. Super twisting sliding mode controlapproach is proposed to deal with uncer tainties, and results are compared with sliding mode control andadaptive slidin g mode control. The robustness of controller is verified by inputting measuremen t noise.The significant improvement has been observed in chattering indicator a nd control effort by using theproposed super twisting sliding mode control."

    Data from Henan University Provide New Insights into Robotics (Bistable Click Me chanism for Dipteran Flight Robot)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Data detailed on Robotics have been pr esented. According to news reporting originatingfrom Luoyang, People's Republic of China, by NewsRx correspondents, research stated, "The flightmechanism of t he dipteran insects is commonly used to design the flapping robot. However, the nonlineardynamics of the buckling click mechanism of the flapping robot with bi stability still unclear."Financial support for this research came from State Key Laboratory of Robotics a nd System (HIT).Our news editors obtained a quote from the research from Henan University, "In t his paper, a novelflapping robot model with the click mechanism proposed based on the bistability of snap-through buckling.The nonlinear governing equations o f the flight robot are obtained by using the Euler-Lagrange equation.The nonlin ear potential energy, moment of the elastic force, equilibrium bifurcation, as w ell as equilibriumstability are investigated to show the bistable characteristi cs. The transitional and persistent sets ofbifurcation regions in the parameter plane and the corresponding phase portraits are obtained with singleand double well behaviors. Then, the periodic response of the free flight are defined by t he analyticalsolution of three kinds of elliptical functions, as well as the am plitude frequency responses are investigatedby numerical integration. Based on the topological equivalent, the chaotic thresholds of the homo-clinicand hetero clinic orbits for the chaotic vibration of the perturbed robot system are derive d. Finally, theprototype of nonlinear flapping robot is manufactured and the ex perimental system is setup. The nonlinearstatic moment of force curves, periodi c response and dynamic flight vibration of dipteran robot systemare carried out . It is shown that the test results are agree well with the theoretical analysis and numericalsimulation."

    Reports from Xi'an Jiaotong University Add New Data to Findings in Machine Learn ing (Switchable and Tunable Chemical/structure Color In a Flexible Hierarchical Surface)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Machine Learn ing have been published. According to newsreporting out of Xi'an, People's Repu blic of China, by NewsRx editors, research stated, "Cephalopod skinis capable o f fast color changing enabled by tunable skin transparency as well as structure color. Under thisinspiration, herein, a flexible surface with unique hierarchic al structure that integrates both transparencychange in chemical color (optical scattering) and structure coloration (optical interfering) is developed byharn essing wrinkling instability, thanks to the interfacial Au catalysis in soft lit hography."Financial support for this research came from National Natural Science Foundatio n of China.Our news journalists obtained a quote from the research from Xi'an Jiaotong Univ ersity, "As a result,a hierarchical structure in terms of wrinkled film overlai d by nano-dome array is obtained in the flexilesurface. Experiments find that s ubject to biaxial strains from 0% to 60%, the hierarc hical surface firstexperiences a transition from nontransparent to transparent owing to the flattening of the wrinkles andthen exhibits iridescence structure color shifting from blue to red."

    Data on Machine Learning Reported by Researchers at Beijing Jiaotong University (Machine Learning-based Multi-objective Optimization and Physical-geometrical Co mpetitive Mechanisms for 3d Woven Thermal Protection Composites)

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Beijing, Peopl e's Republic of China, by NewsRx editors, research stated, "3D wovencomposite m aterials are prime candidates for thermal protection due to their significant th ermophysicalproperties, which necessitates accurate prediction of these propert ies and precise meso-structural design.This study introduces a fusion framework that integrates machine learning-based sensitivity analysis andmulti-objective optimization design."Funders for this research include National Key R & D Program of Ch ina, National Natural ScienceFoundation of China (NSFC).

    University of Illinois Chicago Reports Findings in Prostatectomy (Extraperitonea l Single Port vs Transperitoneal Multiport Robot assisted radical prostatectomy in frail patients: A propensity score matched comparative analysis)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery - Prostatectom y is the subject of a report. According to news reporting out of Chicago, Illino is, by NewsRx editors, research stated, "The rise of frail patients inthe world wide population poses a challenge in the prostate cancer surgical care. In this light, we aimed tocompare perioperative and early surgical outcomes of Extraper itoneal Single Port (SP)- vs TransperitonealMultiport (MP) - Robot Assisted Rad ical Prostatectomy (RALP) in different frailty settings."

    Medical University of Silesia Reports Findings in Artificial Intelligence (An in vestigative analysis - ChatGPT's capability to excel in the Polish speciality ex am in pathology)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Artificial Intelligenc e is the subject of a report. According tonews reporting out of Katowice, Polan d, by NewsRx editors, research stated, "This study evaluatesthe effectiveness o f the ChatGPT-3.5 language model in providing correct answers to pathomorphologyquestions as required by the State Speciality Examination (PES). Artificial int elligence (AI) in medicine isgenerating increasing interest, but its potential needs thorough evaluation."Our news journalists obtained a quote from the research from the Medical Univers ity of Silesia,"A set of 119 exam questions by type and subtype were used, whic h were posed to the ChatGPT-3.5 model. Performance was analysed with regard to t he success rate in different question categoriesand subtypes. ChatGPT-3.5 achie ved a performance of 45.38%, which is significantly below the minimum PES pass threshold. The results achieved varied by question type and subtype, with better resultsin questions requiring ‘comprehension and critical thinking ' than ‘memory'. The analysis shows that,although ChatGPT-3.5 can be a useful t eaching tool, its performance in providing correct answers topathomorphology qu estions is significantly lower than that of human respondents. This conclusion highlights the need to further improve the AI model, taking into account the spec ificities of the medicalfield."

    Nankai University Researcher Provides New Insights into Machine Learning (Machin e Learning Models for Predicting Bioavailability of Traditional and Emerging Aro matic Contaminants in Plant Roots)

    47-48页
    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 originatingfrom Tianjin, People's Republic of China, by NewsRx correspondents, research stated, "To predict thebehavior o f aromatic contaminants (ACs) in complex soil-plant systems, this study develope d machine learning (ML) models to estimate the root concentration factor (RCF) o f both traditional (e.g., polycyclicaromatic hydrocarbons, polychlorinated biph enyls) and emerging ACs (e.g., phthalate acid esters, arylorganophosphate ester s)."Funders for this research include The Major Scientific And Technological Innovat ion Project of ShandongProvince.