查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors: “Many vehicle manufacturers employ robotic units during veh icle painting to not only open and close the vehicle doors, but to apply paint t o the vehicle doors. Typically, one robotic unit is used to open and close the v ehicle doors, and another robotic unit is used for paint application. Usually, o pening and closure of the vehicle doors is accomplished by inserting a tool (e.g ., a pin, a paddle, a gripper, etc.) into the window channels in the vehicle doo rs or via magnetic engagement between the tool and the vehicle doors. Before a v ehicle door is opened, however, the robotic units typically require confirmation that the vehicle door is not only present, but sufficiently engaged by the robo tic unit, absent which, movement and operation of the robotic unit will not occu r or will cease.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: “Industrial machinery is often dangerous to humans. Some machi nery is dangerous unless it is completely shut down, while other machinery may h ave a variety of operating states, some of which are hazardous and some of which are not. In some cases, the degree of hazard may depend on the location or dist ance of the human with respect to the machinery. As a result, many “guarding” ap proaches have been developed to separate humans and machines and to prevent mach inery from causing harm to humans. One very simple and common type of guarding i s simply a cage that surrounds the machinery, configured such that opening the d oor of the cage causes an electrical circuit to place the machinery in a safe st ate. If the door is placed sufficiently far from the machinery to ensure that th e human can’t reach it before it shuts down, this ensures that humans can never approach the machinery while it is operating. Of course, this prevents all inter action between human and machine, and severely constrains use of the workspace.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors: “The invention generally relates to automated, robotic and other object processing systems such as sortation systems, and relates in partic ular to automated and robotic systems intended for use in environments requiring , for example, that a variety of objects (e.g., parcels, packages, and articles, etc.) be processed and distributed to several output destinations.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors: “Marketing materials often contain images of human models. One challenge faced by developers of such content is that the human models displ ayed are static and may therefore only appeal to a limited demographic segment o f the population. Marketers may try to ensure that a variety of models appear in published materials, so as to appeal to a wide variety of demographic preferenc es and tastes. However, creating a diverse set of content manually is expensive, time consuming, and does not scale. Moreover, there are often new dimensions th at might be of interest to users that may not be accounted for even when the pro duct images are shown on a diverse set of human models.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Machine learning has become a common approach for estimating propensity scores for quasiexperimental research using matching, weighting, or stratification on the propensity score. “This systematic review examined machine learning applications for propensity sc ore estimation across different fields, such as health, education, social scienc es, and business over 40 years. The results show that the gradient boosting mach ine (GBM) is the most frequently used method, followed by random forest. Classif ication and regression trees (CART), neural networks, and the super learner were also used in more than five percent of studies. The most frequently used packag es to estimate propensity scores were twang, gbm and randomforest in the R stati stical software. The review identified many hyperparameter configurations used f or machine learning methods.
NETL
NSTL