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    Researchers from School of Mechanical Engineering Report Recent Findings in Robo tics (Path Optimization in Robotic Welding of Plate Heat Exchangers: An Improved Ant Colony Approach)

    165-166页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on robotics are discussed in a new report. According to news reporting originating from the School of Mechanica l Engineering by NewsRx correspondents, research stated, "In industrial robotwe lding heat exchanger plate route planning, there are drawbacks to using the trad itional ant colonyalgorithm (ACA), including poor search efficiency and a prope nsity to trend toward the local optimum."Our news editors obtained a quote from the research from School of Mechanical En gineering: "Toaddress the above issues, first of all, the article introduces th e improved pheromone volatilization factor,which is adjustable based on iterati on times in the ACA. Secondly, it combines the new perturbationstrategy and the cross-mutation operation, proposes an improved genetic algorithm, and fuses it into theACA, which increases the diversity of the ACA's path searching and impr oves the ability of the localand global search. Finally, the improved ACA mecha nism is verified by experiments and compared withsix existing path planning alg orithms (including three ACA variant algorithms and three mainstreamalgorithms) ."
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    Recent Studies from University of Freiburg Add New Data to Robotics (Automatic T arget-less Camera-lidar Calibration From Motion and Deep Point Correspondences)

    165-165页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Researchers detail new data in Robotic s. According to news reporting originatingfrom Freiburg, Germany, by NewsRx cor respondents, research stated, "Sensor setups of robotic platformscommonly inclu de both camera and LiDAR as they provide complementary information. However, fus ingthese two modalities typically requires a highly accurate calibration betwee n them."Financial supporters for this research include German Research Foundation (DFG), Nvidia Corporation.Our news editors obtained a quote from the research from the University of Freib urg, "In this letter,we propose MDPCalib which is a novel method for camera-LiD AR calibration that requires neither humansupervision nor any specific target o bjects. Instead, we utilize sensor motion estimates from visual andLiDAR odomet ry as well as deep learning-based 2D-pixel-to-3D-point correspondences that are obtainedwithout in-domain retraining. We represent camera-LiDAR calibration as an optimization problem andminimize the costs induced by constraints from senso r motion and point correspondences. In extensiveexperiments, we demonstrate tha t our approach yields highly accurate extrinsic calibration parameters andis ro bust to random initialization."
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    Findings on Machine Learning Detailed by Investigators at National University of Ireland (Enhancing Electric Vehicle Charging Efficiency At the Aggregator Level : a Deep-weighted Ensemble Model for Wholesale Electricity Price Forecasting)

    166-167页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Kildare, Ir eland, by NewsRx correspondents, research stated, "The proliferationof electric vehicle (EV) adoption strains low-voltage distribution networks, particularly i n aggregatedcharging scenarios, prompting utility companies to incentivize char ging aggregators for optimizing loadbalancing within thermal limits. These aggr egators utilize machine learning algorithms to understandelectricity price sign als and orchestrate the optimization of the EV charging process."Financial supporters for this research include Deanship of Graduate Studies and Scientific Research atNajran University, Najran University, Saudi Arabia, Minis try of Science & ICT (MSIT), Republic of Korea.
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    Xiangya Hospital Reports Findings in Machine Learning (A machine learning-based nomogram model for predicting the recurrence of cystitis glandularis)

    167-168页
    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 Hunan, Peopl e's Republic of China, by NewsRx correspondents, research stated,"Cystitis glan dularis is a chronic inflammatory disease of the urinary system characterized by high recurrencerates, the reasons for which are still unknown. This study aims to identify potential factors contributingto recurrence and propose a simple a nd feasible prognostic model through nomogram construction."Financial support for this research came from National Natural Science Foundatio n of China.
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    Research Conducted at South China University of Technology Has Provided New Info rmation about Robotics (Untethered Soft Rolling Robot Based On Pneumatic-tendon Coupled Actuation)

    168-169页
    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. According to news originating fromGuangzhou, People's Republic of Chi na, by NewsRx correspondents, research stated, "The Soft RollingRobot (SRR) exc els in adaptability across diverse natural terrains, demonstrating significant f lexibility,environmental interaction capabilities, and impact resistance. Howev er, the development of UntetheredSoft Rolling Robots (USRR) faces challenges in locomotion speed and controllability due to the limitedload-carrying capacity of untethered systems."Funders for this research include Guang Dong Basic and Applied Basic Research Fo undation,Guangzhou Basic and Applied Basic Research Project.
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    Researchers Submit Patent Application, "Device For Automated Production Of Screw Connections", for Approval (USPTO 20240342844)

    169-172页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-From Washington, D.C., NewsRx journali sts report that a patent application bythe inventors Engler, Ingo (Soest, DE); Grune, Ludger-Josef (Hoxter, DE); Jagow, Frank (Erwitte, DE);Lebrato-Rastrojo, Miguel (Paderborn, DE); Robbecke, Thomas Albert (Erwitte, DE), filed on April 22 ,2024, was made available online on October 17, 2024.No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:"Modern workplaces for semi-automatic assembly and the asso ciated material movement are preferablydesigned as so-called collaborative work places, where a person interacts with an industrial robot in alternatingor para llel execution of work steps. In such collaborative workplaces, it must be ensur ed thatthe persons involved are not injured by colliding with the robot. This a pplies in particular if the robotmoves screws at its end effector, which can ca use serious injuries due to the typical screw geometry witha small-area tip and the forces caused by the robot.
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    Patent Application Titled "Sterile Disposable Interfaces For Percutaneous Instru ments" Published Online (USPTO 20240341873)

    172-173页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Callan, Trent Michael (San Carlos, CA, US); Chin, Erica Ding (SanCarlos, CA, US); DeFonzo, Joshua (San Carlos, CA, US); Dickerson, Ben (San Carlos, CA, U S); Hassan,Alex (San Carlos, CA, US); Ma, Polly (San Carlos, CA, US); Scheunert , Mary Margaret (San Carlos, CA,US); Wilson, Colin Allen (San Carlos, CA, US); Wilson, Jason Tomas (San Carlos, CA, US), filed on April17, 2024, was made avai lable online on October 17, 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:"Medical interventional robotic systems often require establis hing a sterile barrier between the interventionalsite and the capital robotic s ystem. In particular, percutaneous interventional techniques are typicallyshort in duration, requiring quick set-up and tear down to ensure minimal impact to m edical workflow orprocess while maintaining a sterile field. As a result, requi ring reprocessing or sterilization of componentsto establish a sterile field is not tenable, and instead it is more appropriate to use inexpensive sterile disposables. This paradigm allows for quick set up and tear down of sterile equipmen t through a sterilizeddisposable pack.
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    Patent Application Titled "System And Method For Custom Label Embedding" Publish ed Online (USPTO 20240346047)

    173-177页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Gutierrez Villalobos, Jenny (Fall Church, VA, US); Ivancic, Kristijan(Gla sgow, GB); Kumar, Ranjitha (Champaign, IL, US); Moss, Jason Matthew (Decatur, GA , US);Turbeville, Kelsey Elizabeth (San Francisco, CA, US); Zaidi, Ali Hur (Sar atoga, CA, US), filed on April13, 2023, was made available online on October 17 , 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:"Computer-based behavioral analytics tools have been used to r ecord and monitor users' interactions witha digital asset. These tools often ar e used to capture and record user and system-level events indicative of user int eractions that occur on deployed websites and applications. The user interaction s often arereferred to as a user's digital experiences. Recordings of a user's digital interactions with a digital assetcan play an important role in digital experience management. A digital asset can be analyzed based uponrecordings of users' digital experiences to evaluate its effectiveness in operation in terms o f ease of use,user engagement, or delivery of services. Recorded information ca n include quantitative information suchas aggregation of data captured during e ach action a user performs during digital interaction with adigital asset. Reco rded information also can include qualitative information such as recordings of a user'sinteraction experiences, including images presented to a user and a use r's recorded verbal commentary.
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    "User-Guided Visual Content Generation" in Patent Application Approval Process ( USPTO 20240346709)

    178-180页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-A patent application by the inventors ORTON, Indigo Jay Dennis (Melbourne, AU);THODOROFF, Pierre Victor Michel (Cambr idge, GB), filed on April 12, 2023, was made available onlineon October 17, 202 4, according to news reporting originating from Washington, D.C., by NewsRx correspondents.This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: "Visual content items such as images, videos, th ree-dimensional models and other visualcontent items are used for many purposes including but not limited to: illustrating how a piece of equipmentis to be us ed, illustrating a book, video games, education, and other purposes. However, it is often timeconsuming and costly to generate visual content items manually su ch as by capturing digital photographsand videos using cameras. Synthetic gener ation of images using graphics engines is also time consumingand costly since a n expert user typically configures the graphics engine and specifies details to be includedin the generated images. Manual generation of three-dimensional mode ls such as mesh models of objectsto be rendered from to create visual content i s time consuming.
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    Patent Issued for Holding device, robot, and robot system (USPTO 12115684)

    180-183页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventorsHirata, Kazunori (Kobe, JP), Ouchi , Satoshi (Kobe, JP), Takahashi, Yuna (Kobe, JP), filed on November27, 2020, wa s published online on October 15, 2024.The patent's assignee for patent number 12115684 is Kawasaki Jukogyo Kabushiki K aisha (Kobe,Japan).News editors obtained the following quote from the background information suppli ed by the inventors:"BACKGROUND ART"A holding device that holds a workpiece having flexibility has been known. For example, a workpiecetakeout device of PTL 1 is proposed as such holding device."The workpiece takeout device of PTL 1 is configured as a robot that takes out t he workpieces stackedin a rack one by one and conveys the workpiece to a next s tep. The workpiece takeout device bendsthe workpiece in such a manner that with the workpiece sucked by a suction component, an expansioncontractioncomponent is randomly expanded or contracted. With this, the workpiece takeout device canbe prevented from taking out plural workpieces at a time."
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