首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Investigators from Nanjing Forestry University Target Robotics (3d Positioning O f Camellia Oleifera Fruit-grabbing Points for Robotic Harvesting)

    156-156页
    查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting originating from Nanjing, People's Republi c of China, by NewsRx correspondents, research stated, "Camellia oleifera is an oilseed crop with high economic value. The short optimum harvest period and high labour costs of C. oleifera harvesting have prompted research on intelligent ro botic harvesting." Funders for this research include National Forestry and Grassland Administration of the Emergency Science and Technology Project of China, National Natural Scie nce Foundation of China (NSFC). Our news editors obtained a quote from the research from Nanjing Forestry Univer sity, "This study focused on the determination of grabbing points for the roboti c harvesting of C. oleifera fruits, providing a basis for the decision making of the fruit-picking robot. A relatively simple 2D convolutional neural network (C NN) and stereoscopic vision replaced the complex 3D CNN to realise the 3D positi oning of the fruit. Apple datasets were used for the pretraining of the model an d knowledge transfer, which shared a certain degree of similarity to C. oleifera fruit. In addition, a fully automatic coordinate conversion method has been pro posed to transform the fruit position information in the image into its 3D posit ion in the robot coordinate system. Results showed that the You Only Look Once ( YOLO)v8x model trained using 1012 annotated samples achieved the highest perform ance for fruit detection, with mAP50 of 0.96 on the testing dataset. With knowle dge transfer based on the apple datasets, YOLOv8x using few-shot learning realis ed a testing mAP50 of 0.95, reducing manual annotation. Moreover, the error in t he 3D coordinate calculation was lower than 2.1 cm on the three axes. The propos ed method provides the 3D coordinates of the grabbing point for the target fruit in the robot coordinate system, which can be transferred directly to the robot control system to execute fruit-picking actions."
      原文链接:
    • NETL
    • NSTL

    Shandong University of Technology Reports Findings in Machine Learning (Predicti on for the recycle of phosphate tailings in enhanced gravity field based on mach ine learning and interpretable analysis)

    157-157页
    查看更多>>摘要：New research on Machine Learning is th e subject of a report. According to news reporting originating in Zibo, People's Republic of China, by NewsRx journalists, research stated, "Recleaning phosphat e tailings using the low-cost enhanced gravity separation method is beneficial f or maximizing the recovery of phosphorus element. A machine learning framework w as constructed to predict the target variables of the yield, grade, and recovery from the feature variables of slurry concentration, backwash water pressure, an d rotational frequency of bowl, whose data came from the phosphate tailings sepa ration experiments in the enhanced gravity field." The news reporters obtained a quote from the research from the Shandong Universi ty of Technology, "The coefficient of determination R and mean squared error wer e used to evaluate the performance of seven machine learning models. After hyper -parameter optimization, GBR demonstrated the best performance in predicting yie ld, grade, and recovery, with prediction accuracy of 95.58 %, 90.72 %, and 94.25 %, respectively. SHapley Additive exPlan ations interpretability analysis revealed that the rotational frequency of the b owl had the most significant impact on the grade and recovery of concentrates, w hile slurry concentration had the most significant effect on the yield. A lower rotational frequency of the bowl, a higher slurry concentration, and an increase d backwash water pressure were positively correlated with both the yield and rec overy. However, the grade was favorably correlated with a higher rotational freq uency of bowl and a lower slurry concentration, whereas its correlation with the backwash water pressure could be positive or adverse, depending on its specific value."
      原文链接:
    • NETL
    • NSTL

    Reports Summarize Robotics Study Results from Beijing Institute of Technology (H igh-performance Foot Trajectory Tracking Control of Hydraulic Legged Robots Base d On Fixed-time Disturbance Observers)

    158-158页
    查看更多>>摘要：Researchers detail new data in Robotic s. According to news reporting originating in Beijing, People's Republic of Chin a, by NewsRx journalists, research stated, "PurposeThere are various uncertain a nd nonlinear problems in hydraulic legged robot systems, including parameter unc ertainty, unmodeled dynamics and external disturbances. This study aims to elimi nate uncertainties and improve the foot trajectory tracking control performance of hydraulic legged robots, a high-performance foot trajectory tracking control method based on fixed-time disturbance observers for hydraulic legged robots is the robot leg mechanical system model and hydraulic system model of the hydrau lic legged robot are established." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Collective Intelligence and Collaboration boratory Open Fund Project.
      原文链接:
    • NETL
    • NSTL

    New Machine Learning Research from Chinese Academy of Meteorological Sciences Di scussed (Rice Yield Estimation Using Machine Learning and Feature Selection in H illy and Mountainous Chongqing, China)

    159-159页
    查看更多>>摘要：A new study on artificial intelligence is now available. According to news reporting originating from Beijing, People' s Republic of China, by NewsRx correspondents, research stated, "To investigate effective techniques for estimating rice production in hilly and mountainous are as, in this study, we collected yield data at the field level, agro-meteorologic al data, and Sentinel-2/MSI remote sensing data in Chongqing, China, between 202 0 and 2023." Financial supporters for this research include Natural Science Foundation of Cho ngqing; Chongqing Meteorological Department Operational Technology Tackling Proj ect; Chongqing Meteorological Department Wisdom Meteorological Technology Innova tion Team Project.
      原文链接:
    • NETL
    • NSTL

    School of Traffic and Transportation Researchers Update Knowledge of Robotics (3 D Monitoring Model for Real-Time Displacement of Metro Tunnel under 'Dual Carbon ' Background)

    160-160页
    查看更多>>摘要：Researchers detail new data in robotic s. According to news reporting from the School of Traffic and Transportation by NewsRx journalists, research stated, "Real-time automatic displacement monitorin g of metro tunnels is vital for ensuring operational safety and contributes to c arbon reduction goals by improving system efficiency." Funders for this research include National Natural Science Foundation of China. Our news journalists obtained a quote from the research from School of Traffic a nd Transportation: "This study focuses on key monitoring elements such as displa cement, settlement, convergence, and cracking. Through the analysis of continuou s monitoring data, a real-time displacement monitoring model for metro tunnels b ased on robotic total stations is proposed. This model can timely identify poten tial risks, thereby ensuring the safe operation of tunnels and reducing carbon e missions from unnecessary maintenance operations, thereby reducing the carbon fo otprint of metro operations. This article takes the Jinan Metro Tunnel Displacem ent Real-time Monitoring Project in China as a case study and constructs a compr ehensive monitoring framework using robotic total stations, intelligent automate d deformation monitoring data collectors, and cloud servers. The implementation details of the project, displacement monitoring principles, monitoring system co nstruction, and data analysis processes are elaborated in detail. Taking the mon itoring data of Jinan Metro Line 2 from April 1, 2022, to May 31, 2023, as an ex ample, the results show that the tunnel displacement is within the safe range, v erifying the practical application value of the method proposed in this paper."
      原文链接:
    • NETL
    • NSTL

    Research Conducted at National University of Defense Technology Has Updated Our Knowledge about Robotics (Deep Reinforcement Learning With Multicritic Td3 for D ecentralized Multirobot Path Planning)

    161-161页
    查看更多>>摘要：Investigators publish new report on Ro botics. According to news originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, "Centralized multirobot path plannin g is a prevalent approach involving a global planner computing feasible paths fo r each robot using shared information. Nonetheless, this approach encounters lim itations due to communication constraints and computational complexity." Funders for this research include Science and Technology Innovation 2030-Key Pro ject, National Natural Science Foundation of China (NSFC).
      原文链接:
    • NETL
    • NSTL

    'Lossless Image Compression Using Block Based Prediction And Optimized Context A daptive Entropy Coding' in Patent Application Approval Process (USPTO 2024031429 3)

    162-164页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsA patent application by the inventors PETRANGELI, Stefano (Mountain View, CA, US); SWAMINATHAN, Viswanathan (Saratoga, CA, US); W ANG, Haoliang (San Jose, CA, US), filed on May 20, 2024, was made available onli ne on September 19, 2024, according to news reporting originating from Washingto n, D.C., by NewsRx correspondents. This patent application is assigned to Adobe Inc. (San Jose, California, United States).
      原文链接:
    • NETL
    • NSTL

    Patent Application Titled 'Cleaning Robot' Published Online (USPTO 20240306874)

    165-168页
    查看更多>>摘要：According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors HU, Caiyun (Beijing, CN); LU, Youcheng (Beijing, CN), filed on December 22 , 2021, was made available online on September 19, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "A cleaning robot is a robot that automatically cleans a certa in area to be cleaned without being operated by a user. However, when the cleani ng robot is ready to work or completes its work, it often needs to be carried by the user."
      原文链接:
    • NETL
    • NSTL

    Patent Application Titled 'Electronic Message System With Artificial Intelligenc e (Ai)-Generated Personalized Summarization' Published Online (USPTO 20240314093 )

    168-170页
    查看更多>>摘要：According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Andrews, Anton Oguzhan A. (Kirkland, WA, US); HATTANGADY, Poonam Ganesh (S eattle, WA, US); MEHTA, Kuleen Haresh (Sammamish, WA, US); Martino Pena, Erich J ose (San Francisco, CA, US); Palermiti, II, Michael Francis (Indian Wells, CA, U S); THOMAS, Alan Mark (Woodstock, GA, US); WOOD, Matthew David (Sammamish, WA, U S); Whitmore, Caleb (San Francisco, CA, US), filed on May 9, 2023, was made avai lable online on September 19, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Computing systems are currently in wide use. Some computing s ystems host applications, such as electronic mail applications or other electron ic communication systems.
      原文链接:
    • NETL
    • NSTL

    Patent Issued for Method and system for automatic cook program determination (US PTO 12094104)

    171-172页
    查看更多>>摘要：June Life LLC (San Francisco, Californ ia, United States) has been issued patent number 12094104, according to news rep orting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Bhogal, Nikhil (San Francisco, CA, US), Paruchuri, Ji thendra (San Francisco, CA, US), Wang, Wiley (San Francisco, CA, US). This patent was filed on November 6, 2023 and was published online on September 17, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "Automated appliances, such as smart appliances, ca n rely on computer-vision based techniques to automatically recognize foodstuff to be cooked. However, users generally prefer to cook personalized meals, which cannot be recognized using a generic computer-vision model.
      原文链接:
    • NETL
    • NSTL