查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on robotics are presented i n a new report. According to news originating from Sydney, Australia, by NewsRx correspondents, research stated, “The centimetre-level accuracy of Ultra-wideban d (UWB) has attracted significant attention in indoor positioning.” The news journalists obtained a quote from the research from University of Techn ology Sydney: “However, the precision of UWB positioning is severely compromised by non-line-of-sight (NLOS) conditions that arise from complex indoor environme nts. On the other hand, odometry is widely applicable to wheeled robots due to i ts reliable short-term accuracy and high sampling frequency, but it suffers from long-term drift. This paper proposes a tightly coupled fusion method with a Dyn amic Unscented Kalman Filter (DUKF), which utilises odometry to identify and mit igate NLOS effects on UWB measurements. Horizontal Dilution of Precision (HDOP) was introduced to assess the impact of geometric distribution between robots and UWB anchors on UWB positioning accuracy. By dynamically adjusting UKF parameter s based on NLOS condition, HDOP values, and robot motion status, the proposed me thod achieves excellent UWB positioning results in a severe NLOS environment, wh ich enables UWB positioning even when only one line-of-sight (LOS) UWB anchor is available.”
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 Artificial In telligence have been published. According to news reporting out of Oslo, Norway, by NewsRx editors, research stated, “Over the past decade, there has been a gro wing surge of interest in leveraging artificial intelligence and machine learnin g models to address real-world challenges within the field of telecommunications and networking. Among these challenges, network traffic classification has cons istently remained a key focal point within the community.”
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 from Ghent, Belgium, by NewsRx journalists, resea rch stated, “Collisions at high-speed can severely damage robots with non-backdr ivable drivetrains. Adding an overload clutch in series can improve the robot’s collision tolerance without compromising its high dynamic performance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on artificial intelligen ce have been presented. According to news reporting out of Ljubljana, Slovenia, by NewsRx editors, research stated, “Successful applications of artificial intel ligence (AI), such as ChatGPT, have been prompting regulators to speed up the re lated regulation processes.”
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 Ma chine Learning. According to news reporting originating in Xi’an, People’s Repub lic of China, by NewsRx journalists, research stated, “Accurate prediction of te mperature-dependent reaction rate constants is essential for the development of combustion kinetic models. However, the computational expense associated with ca lculating rate constants using high-level quantum chemistry methods becomes infe asible as the complexity of the kinetic models grows, and alternative approaches relying on analogies can exhibit significant inaccuracies.”
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 artificial intelligence. According to news reporting out of Baghdad, Iraq, by Ne wsRx editors, research stated, “The pollution index of any urban area is indicat ed by its air quality. It also shows a fine balance is maintained between the ne eds of the populace and the industrial ecosystem.”
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 - Arthroplasty is the subject of a report. According to news reporting originating from Lugano , Switzerland, by NewsRx correspondents, research stated, “Roboticassisted unic ompartmental knee arthroplasty (R-UKA) has been proposed as an approach to impro ve the results of the conventional manual UKA (C-UKA). The aim of this meta-anal ysis was to analyze the studies comparing R-UKA and C-UKA in terms of clinical o utcomes, radiological results, operating time, complications, and revisions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on robotics have been pr esented. According to news reporting out of Dongguan, People’s Republic of China , by NewsRx editors, research stated, “In uncertain environments with robot inpu t saturation, both model-based reinforcement learning (MBRL) and traditional con trollers struggle to perform control tasks optimally.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on Robotics are presented i n a new report. According to news reporting originating from Tartu, Estonia, by NewsRx correspondents, research stated, “Teaching robotics with the robot operat ing system (ROS) is valuable for instating good programming practices but requir es significant setup steps from the learner. Providing a ready-made ROS learning environment over the web can make robotics more accessible; however, most of th e previous remote labs have abstracted the authentic ROS developer environment e ither for didactical or technological reasons, or do not give the possibility to program physical robots.”
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 Machine Learning. According to news originating from Dalian, People’s Republic of China , by NewsRx correspondents, research stated, “Nonintrusive load monitoring (NILM ) is a cost-effective technology for monitoring detailed electricity energy cons umption. In recent years, machine learning has emerged as the predominant approa ch for achieving NILM tasks.”
NETL
NSTL