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    Research Conducted at New York University (NYU) Has Updated Our Knowledge about Robotics and Automation (Learning To Fly In Seconds)

    120-120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 Robotics - Robotics an d Automation is the subject of a report. According to news reporting originating in Brooklyn, New York, by NewsRx journalists, research stated, “Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for stream lining deployment, enhancing performance, and achieving generalization in the co ntrol of autonomous multirotor aerial vehicles. Deep RL has been able to control complex systems with impressive fidelity and agility in simulation but the simu lation-to-reality transfer often brings a hard-to-bridge reality gap.”

    University of Texas Arlington Researchers Publish New Study Findings on Machine Learning (Enhancing Urban Parking Efficiency Through Machine Learning Model Inte gration)

    121-121页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Arlington, Texas, by N ewsRx correspondents, research stated, “An increase in vehicular traffic and a s carcity of parking spaces are creating significant challenges for urban parking management.” The news reporters obtained a quote from the research from University of Texas A rlington: “This study aims to tackle these issues that escalate congestion and p ollution and decrease urban productivity, by utilizing machine learning models t o accurately predict parking space availability and categorize occupancy levels. It employs a dataset from a college campus garage collected from January 2022 t o June 2023 and analyzes the performance of random forest, decision tree, linear regression, and support vector models by comparing them, using multiple evaluat ion metrics. The results revealed that the random forest model was the most reli able, as it demonstrated strong performance in both the regression and classific ation analyses and was adept at estimating the exact number of available parking spaces. A concurrent classification analysis that categorized parking occupancy into different levels proved valuable for enhancing the quality of communicatio n and decision-making. An analysis of the importance of various features clearly highlighted the influence of the day of the week on parking demand and patterns ; the impact of seasonality on the volume of parking usage; and the time of day, which plays a crucial role in determining parking behavior.”

    Studies from Northwestern Polytechnic University Describe New Findings in Androi ds (Human-assisted Regulation of the Deployment of a Tethered Space Robot Via Fe asibility Condition Optimization and Fast Logarithmic Sliding Mode)

    122-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Androids. According to news originating from Xi’an, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The feasibility analysis and per formance optimization are great challenges of the underactuated deployment of a tethered space robot. This article presents an investigation into the feasibilit y condition optimization and stability analysis of the underactuated deployment, and proposes a feasibility-judgment-based human-assisted regulation scheme via the fast logarithmic sliding mode.”

    Findings on Robotics Discussed by Investigators at Nanjing University of Posts a nd Telecommunications (A Fusiform Network of Indoor Scene Classification With th e Stylized Semantic Description for Service-robot Applications)

    123-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “Scene perception technology h elps robots identify the target areas that people refer to so that it contribute s to human-robot interaction, semantic navigation and other related tasks. Curre ntly, pure semantic -featurebased methods are insufficient to fully describe div erse indoor scenes, resulting in a high confusion rate and performance inconsist ency on each class.” Funders for this research include Natural Science Foundation of Jiangsu Province , National Natural Science Foundation of China (NSFC), Foundation of Key Laborat ory of Advanced Process Control for Light Industry, China.

    Findings from Anhui University in the Area of Robotics Reported (Nonsingular Fix ed-time Fault-tolerant Sliding Mode Control of Robot Manipulator With Disturbanc e Observer)

    124-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Hefei, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents a nonsingular slid ing mode fault-tolerant control method with fixed-time convergence for a class o f robot manipulators with uncertainties, external disturbances, and actuator fai lures.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Anhui Provincial University Natural Science Research Project , Natural Science Foundation of Anhui Province.

    Recent Findings from Khulna University of Engineering and Technology Provides Ne w Insights into Machine Learning (Assessing the Influence of Sugarcane Bagasse A sh for the Production of Ecofriendly Concrete: Experimental and Machine Learnin g ...)

    125-125页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Khulna, Bangladesh, by NewsRx correspondents, research stated, “The innovative utilization of sugarc ane bagasse ash (SCBA) in producing lightweight concrete (LWC) needs to be explo red experimentally and quantification with machine learning approaches. Therefor e, this study aims to investigate fresh, mechanical and microstructural characte ristics and machine learning modeling of incorporating SCBA as a partial substit ute of cement.”

    Studies Conducted at Monash University on Robotics Recently Reported (Should I J ust Stick To the Wall? Evaluating the Social Acceptance and Preferred Driving Si de of Wall Following)

    126-126页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Clayton, Australia, by NewsRx co rrespondents, research stated, “The need for safe, predictable, and reliable rob ot navigation is fundamental for mobile robots to move around in home and office environments. Shortest-path navigation is a popular robot navigation method tha t uses the most efficient path to get to the desired goal.” Funders for this research include Monash University, Faculty of Engineering, Sch ool of Electrical and Computer Systems Engineering.

    Findings from North Carolina Agricultural and Technical State University Provide s New Data about Machine Learning (Optimizing Landslide Susceptibility Mapping U sing Machine Learning and Geospatial Techniques)

    127-128页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Greensboro, North Carolina, by NewsRx editors, research stated, “Landslides present a substantial risk to hu man lives, the environment, and infrastructure. Consequently, it is crucial to h ighlight the regions prone to future landslides by examining the correlation bet ween past landslides and various geoenvironmental factors.” Financial support for this research came from Department of Transportation (NCDO T) , United States.

    Urology Unit Reports Findings in Diverticulectomy (Robotic bladder diverticulect omy with concurrent management of bladder outlet obstruction: A choice to consid er)

    128-129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 - Diverticulec tomy is the subject of a report. According to news reporting originating from Ch ieti, Italy, by NewsRx correspondents, research stated, “Acquired bladder divert icula (BD) are associated with bladder outlet obstruction. The aim of our study is to analyse the improvement in lower urinary tract symptoms (LUTS) in patients who underwent robot-assisted bladder diverticulectomy (RABD) combined with tran surethral prostatectomy (TURP).”

    Royal Marsden NHS Foundation Trust Reports Findings in Liver Surgery (Introducti on of day-case robotic liver surgery: a case series from a tertiary hepatobiliar y and pancreatic centre)

    129-130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 - Liver Surger y is the subject of a report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, “Liver surgery is assoc iated with a significant hospital stay regardless the type of liver resection. A large incision is essential for open liver surgery which is a major factor in t he course of the patient’s recovery.” The news reporters obtained a quote from the research from Royal Marsden NHS Fou ndation Trust, “For patients with small parenchyma liver lesions requiring surgi cal resection, robotic surgery potentially offers the opportunity to transform t he patient’s post-operative course. A day-case robotic liver resection pathway w as formulated and implemented at our institution when patients were planned for discharge within 24 h of admission for liver surgery. Single surgeon case series of cases performed at a tertiary hepatobiliary and pancreatic centre between Se ptember 2022 and November 2023. The inclusion criteria were non-anatomical wedge resections, <2 anatomical segmental resections, left late ral hepatectomy and minimally invasive surgery. This is the first series of robo tic day-case minor liver resection in the United Kingdom. 20 patients were inclu ded in this case series. The mean operative time was 86.6 ? 30.9 min and mean co nsole time was 58.6 ? 24.5 min. Thirteen patients (65%) were discha rged within 24 h of surgery. The main cause of hospitalisation beyond 24 h was i nadequate pain relief. There were no Clavien-Dindo grade III or above complicati ons, no 30-day readmission and 90-day mortalities. This case series demonstrates that robotic day-case liver resection is safe and feasible.”