查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics - Robotics and Automation. Accordingto news originating from Wuhan, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Variable s tiffness mechanisms provide an effective means to enhance the load-bearing capac ity of softfingers, but due to the lack of stretchability, their assembly posit ion is often limited to the lower surfaceof soft bending actuators. Here, a Cro ss-Sliding jamming mechanism with tensile properties is developedto overcome th is restriction.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).Our news journalists obtained a quote from the research from the China Universit y of Geosciences,“The mechanism is integrated on the upper surface of a soft ac tuator and can be passively stretchedas the actuator bends. By changing the ass embly position, the defect of rigidity contact between theconventional variable stiffness fingers and the object is solved, and the disturbance caused by the v ariablestiffness structure to the contact surface during the jamming process is eliminated. Furthermore, a multifingeredgripper is assembled based on the var iable stiffness soft fingers, demonstrating its effective graspingcapability an d stability by bending, stiffness, vibration experiments and so on.”
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 to newsreporting from Oxford, United Ki ngdom, by NewsRx journalists, research stated, “The aim of this workis to ident ify patients at risk of limited access to healthcare through artificial intellig ence using a nameethnicityclassifier (NEC) analyzing the clinical stage of cat aract at diagnosis and preoperative visual acuity.This retrospective, cross-sec tional study includes patients seen in the cataract clinic of a tertiary care hospital between September 2017 and February 2020 with subsequent cataract surgery in at least one eye.”The news correspondents obtained a quote from the research from the University o f Oxford, “Weanalyzed 4971 patients and 8542 eyes undergoing surgery. The NEC i dentified 360 patients with namesclassified as ‘non-German’ compared to 4611 cl assified as ‘German’. Advanced cataract (7 vs. 5%; p =0.025) was s ignificantly associated with group ‘non-German’. Mean best-corrected visual acui ty in group‘non-German’ was 0.464 ± 0.406 (LogMAR), and in group ‘German’ was 0 .420 ± 0.334 (p = 0.009).This difference remained significant after exclusion o f patients with non-lenticular ocular comorbidities.Surgical time and intraoper ative complications did not differ between the groups. Retrobulbar or general anesthesia was chosen significantly more frequently over topical anesthesia in gro up ‘non-German’ comparedto group ‘German’ (24 vs. 18% respectivel y; p<0.001). This study shows that artificial intelligence isable to uncover health disparities between people with German compared to no n-German names usingNECs. Patients with non-German names, possibly facing vario us social barriers to healthcare access suchas language barriers, have more adv anced cataracts and worse visual acuity upon presentation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Robotic machiningsystems ha ve been widely implemented in the assembly sites of large components of aircraft , such aswings, aircraft engine rooms, and wing boxes. Milling is the first ste p in aircraft assembly.”Financial supporters for this research include Key Research and Development Prog ram of ShaanxiProvince, China Postdoctoral Science Foundation.Our news editors obtained a quote from the research from Northwestern Polytechni c University, “It isconsidered one of the most significant processes because th e quality of the subsequent drilling, broaching,and riveting steps depend stron gly on the milling accuracy. However, the chatter phenomenon mayoccur during th e milling process because of the low rigidity of the components of the robotic m illingsystem (i.e., robots, shape-preserving holders, and rod parts). This may result in milling failure or evenfracture of the robotic milling system. This p aper presents a feasible spindle speed interval identificationmethod for large aeronautical component milling systems to eliminate the chatter phenomenon. It i sbased on the chatter stability model and the analysis results of natural frequ ency and harmonic response.Firstly, the natural frequencies and harmonics of th e main components of the robot milling system areanalyzed, and the spindle spee d that the milling system needs to avoid is obtained. Then, a flutter stabilitymodel considering the instantaneous cutting thickness is established, from which the critical cutting depthcorresponding to the spindle speed can be obtained. Finally, the spindle speed interval of the robotic millingsystem could be optim ized based on the results obtained from the chatter stability model and the analysis result of the natural frequency and harmonic response of the milling system.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Los Alamos, New Mexico, by New sRx journalists, research stated, “Underground hydrogen (H2)storage (UHS) has e merged as a promising technology to facilitate the widespread adoption of fluctu atingrenewable energy sources. However, the current UHS experience primarily fo cuses on salt caverns, withno working examples of storing pure H2 in porous res ervoirs.”Funders for this research include Los Alamos National Laboratory, Laboratory Dir ected Research andDevelopment (LDRD) program.The news correspondents obtained a quote from the research from Earth and Enviro nmental SciencesDivision, “A key challenge in UHS within porous rocks is the un certainty in evaluating storage performancedue to complicated geological and op erational conditions. While physics -based reservoir simulationsare commonly us ed to quantify H2 injection and withdrawal processes during storage cycles, they arecomputationally demanding and unsuitable for providing rapid support to UHS operations. In this study,we develop efficient reduced -order models (ROMs) fo r UHS in depleted natural gas reservoirs using deepneural networks (DNNs) based on comprehensive reservoir simulation data sets. The ROMs can accuratelyforeca st UHS performance metrics (H2 withdrawal efficiency, produced H2 purity, produc ed gas -waterratio) across various geological and operational conditions and ar e over 22000 times faster than physics-based simulations. Then, we employ the R OMs for sensitivity analysis to assess the impact of geologicaland operational parameters on UHS performance and conduct uncertainty quantification to characte rizepotential performance and associated probabilities. Lastly, we present a fi eld case study from the Dakotaformation of the Basin field in the Intermountain -West (I -WEST) region, USA. Based on the ROMs’predictions, Dakota formation i s favorable for UHS due to its high H2 withdrawal efficiency and purity,and low water production risk. By optimizing operational parameters, we can further imp rove the storageperformance in Dakota formation and reduce the uncertainty in U HS performance prediction.”
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 originatingin Changsha, People’s Republic of China, by NewsRx journalists, research stated, “This paper developsa novel h ierarchical control strategy for improving the trajectory tracking capability of aerial robots underparameter uncertainties. The hierarchical control strategy is composed of an adaptive sliding modecontroller and a model-free iterative sl iding mode controller (MFISMC).”The news reporters obtained a quote from the research from Hunan University, “A position controlleris designed based on adaptive sliding mode control (SMC) to safely drive the aerial robot and ensure faststate convergence under external d isturbances. Additionally, the MFISMC acts as an attitude controller toestimate the unmodeled dynamics without detailed knowledge of aerial robots. Then, the a daption lawsare derived with the Lyapunov theory to guarantee the asymptotic tr acking of the system state. Finally,to demonstrate the performance and robustne ss of the proposed control strategy, numerical simulationsare carried out, whic h are also compared with other conventional strategies, such as proportional-integralderivative (PID), backstepping (BS), and SMC.”
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 is now availab le. According to news reporting out of Beijing,People’s Republic of China, by N ewsRx editors, research stated, “It is important to obtain real-timeleaf densit y of fruit-tree canopies for the precision spray control of plant-protection rob ots. However,conventional detection techniques for the characteristics of fruit -tree canopies cannot acquire the canopyinternal information, which may provide an unsatisfactory accuracy of detection of leaf densities.”Funders for this research include National Natural Science Foundation of China ( NSFC), Yantai Localityand University Cooperation Development Project.Our news journalists obtained a quote from the research from China Agricultural University, “Thispaper proposes a method for estimating canopy leaf density of fruit trees based on wind-excited audio. Awind-exciting implement was used to f orce fruit-tree canopy leaves vibrating to produce audio. Then, somecorrelation analysis methods were used to extract key characteristic parameters of wind-exc ited audio thatwere significantly correlated with leaf density. Finally, based on the data set of wind-excited audio, a fewmachine-learning methods were used to develop leaf-density estimation models. Test results showed that:(1) there w ere five key feature parameters of wind-excited audio that were significantly co rrelated withleaf density: the short-time energy, spectral centroid, the freque ncy average energy, the peak frequency,and the standard deviation of frequency. (2) the estimation model of leaf density developed based onbackpropagation neu ral network for fruit-tree canopy showed the optimal estimation results, which c anachieve the estimation of leaf density of fruit-tree canopies accurately. The overall correlation coefficient® of the estimation model was more than 0.84, t he root-mean-square error was less than 0.73 m2 m-3,and the mean absolute error was less than 0.53 m2 m-3.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According to newsreporting from Chicago, Illino is, by NewsRx journalists, research stated, “Artificial Intelligence (AI) enabled tools have increasingly becoming popular in our societies and are increasingly being used by students andpractitioners, among others. Within corporations, nu merous different applications have been identifiedwhere AI -enabled tools have been applied with different levels of success.”The news correspondents obtained a quote from the research from Loyola Universit y Chicago, “In thisarticle, we explore the pros and cons of using AI in perform ance management (PM). We draw upon thepractitioner literature to summarize the current status of AI and AI -enabled tools. We also interviewed8 HR professiona ls from around the world to learn about their experience(s) with the tools and t o gainan insight into the future. In doing so, we explore the various component s of performance managementsystems (PMS) and discuss how each might be impacted by the use of AI.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject ofa report. According to news origina ting from Kelantan, Malaysia, by NewsRx correspondents, researchstated, “Stroke has emerged as the leading cause of disability globally. The provision of long- termrehabilitation to stroke survivors poses a health care burden to many count ries.”Our news journalists obtained a quote from the research from University Sains Ma laysia, “Roboticdevices have created a major turning point in stroke rehabilita tion program. Currently, the anthropometricevidence to support the benefit of robotic rehabilitation (RR) among stroke patients is scarce. Therefore,the aim o f this study was to evaluate the impact of RR on the mid-thigh circumferences of the pareticlimbs in stroke patients. Twenty stroke patients from conventional rehabilitation (CR) (n = 10) and RR(n = 10) groups were recruited through a pur posive sampling method. Patients in the CR group receiveda two-hour session of a five-day-a-week home-based CR program for 4 weeks. Patients in the RR groupre ceived a five-day-a-week of an hour combined physiotherapy and occupational ther apy session anda one-hour robotic therapy session using the HAL? Cyberdyne lowe r-limb, for 4 weeks. The mid-thighcircumferences of both limbs were measured on day 1 (baseline), week 2 and week 4 of rehabilitationprogram. The results reve aled no statistically significant difference in the mid-thigh circumferences between the paretic (F = 1.96, p = 0.20), and the normal (F = 1.96, p = 0.20) sides in the CR group (n= 10). For the comparison between the paretic and normal sid es in the RR group (n = 10), the pareticmid-thigh circumferences revealed signi ficant time effect results (F = 11.91, p = 0.001), which were dueto changes bet ween baseline and week 2, and baseline and week 4 measurements. Interestingly, t henormal mid-thigh circumferences also revealed a significant time effect (F = 6.56, p = 0.007), which isdue to changes between baseline and week 4. One-way a nalysis of variance was employed to comparethe mean average between groups due to the difference in the baseline measurements of the mid-thighcircumferences b etween the paretic side of the CR and the RR groups. With this adjustment, the a veragemeans mid-thigh circumferences after 4 weeks of therapy were shown to be significantly different betweenthe CR and RR groups (F = 12.49, p = 0.02). Sign ificant increments in the mid-thigh circumferencesfollowing RR were seen in the paretic limbs of stroke patients.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ro botics and mechatronics. According to newsreporting from Tokyo, Japan, by NewsR x journalists, research stated, “Although research has been conductedon the sim ultaneous operation of multiple autonomous underwater vehicles (AUVs) to improve theefficiency of oceanographic surveys, it has become clear that sonar interfe rence occurs between AUVs thatare in close proximity.”The news reporters obtained a quote from the research from National Maritime Res earch Institute:“In this study, a formation control system was developed for ac tual operation at sea, based on theassumption of an operational system with an autonomous surface vehicle (ASV) and multiple AUVs. Acontrol algorithm was impl emented to maintain the AUVs within the desired range of the ASV, ensurecommuni cation, and avoid sonar interference by sending commands to increase or decrease the speedof the AUVs. Simulations were performed to verify the effectiveness o f the developed method for theoperation of one ASV and 10 AUVs. Evaluation scor es for the distance between vehicles were introducedto quantify the effectivene ss of the algorithm.”
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 reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Existing tensegrityrobot modeli ng predominantly relies on cable length as the primary control input, making it intractable forimplementation on motor-driven physical systems. In addition, th e current models lack precise formulationsfor intricate environmental interacti ons, such as ground contact forces during deformation and rollingmaneuvers.”Financial support for this research came from National Key Research and Developm ent Program ofChina.The news correspondents obtained a quote from the research from the Beijing Inst itute of Technology,“To bridge these gaps, our study proposes a practicable mod eling approach tailored for six-bartensegrity robots within the Port-Hamiltonia n framework. We address the internal forces stemming frominterconnected bars an d cables by elegantly formulating them as Hamiltonian expressions. Central to our modeling is the versatile ‘port’, encompassing contact and friction forces, an d motor-driven propulsion.These considerations exhibit a broad applicability to cable-driven tensegrity robots, facilitating the straightforwarddeployment of controllers on real-world robotic platforms. The system parameters are identifie dvia experiments on our prototype tensegrity robot, with results aligning close ly with theoretical analyses.”
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