Abstract: An end effector tool includes a fluid containing portion and an actuator. The fluid containing portion includes a distal wall located at a first distal end of the fluid containing portion and one or more sidewalls extending from the distal wall. The distal wall and the one or more sidewalls partially enclose an interior volume of the end effector tool. A fluid is disposed in the interior volume. The actuator is configured to apply energy to the fluid to change the fluid between a liquid state and a solid state. The fluid containing portion is to be placed over a dental product to cover the dental product with the fluid in the liquid state. The fluid is to secure the dental product responsive to the fluid being changed from the liquid state to the solid state.

Abstract: Some embodiments are directed to a device (301) for processing a fetal heart rate signal. The device obtains a first fetal heart rate segment and a subsequent second fetal heart rate segment of a fetal heart rate signal, and a first uterine activity segment and a second uterine activity segment of a uterine activity signal, corresponding respectively to the first and second fetal heart rate segments. A fetal heart rate prediction model is applied to representations of the first fetal heart rate segment, the first uterine activity segment, and the second uterine activity segment, to obtain a predicted representation of the second fetal heart rate segment. The predicted representation is compared to the obtained second fetal heart rate segment to determine an anomaly score indicative of fetal health.

Abstract: A method includes: identifying marking parameters associated with performance of dental appliance etching; includes identifying a first segment of marking data to be etched onto a dental appliance; causing, via dental appliance marking equipment based on the marking parameters, etching of the first segment on the dental appliance; capturing image data associated with the etching of the first segment; and causing the marking parameters to be updated based on the image data. A method includes: subsequent to dental appliances being simultaneously thermoformed via a thermoforming system in a single batch, determining dental appliance data and laser tool data; determining, based on the dental appliance data and the laser tool data, global plan data for performing laser operations of the dental appliances via laser tools; and causing, based on the global plan data via the laser tools, the laser operations of the dental appliances.

Abstract: A method includes identifying first geometry of a first mold associated with a first dental arch and a second geometry of a second mold associated with a second dental arch. The method further includes determining, based on the first geometry and the second geometry that the first mold and the second mold are to be used for simultaneous forming of a first dental appliance and a second dental appliance on a plate in a dental appliance manufacturing system. The method further includes causing, based on the first geometry and the second geometry, one or more portions of the dental appliance manufacturing system to be configured to form the first dental appliance and the second dental appliance.

Abstract: A method includes identifying one or more images of a mold of a dental arch, identifying a digital model corresponding to the mold of the dental arch, providing the one or more images and the digital model as input into a trained machine learning model, receiving, from the trained machine learning model, output, and determining, based on the output, whether the mold matches the digital model.

Abstract: A method includes identifying first geometry of a first mold associated with a first dental arch and a second geometry of a second mold associated with a second dental arch. The method further includes determining, based on the first geometry and the second geometry that the first mold and the second mold are to be used for simultaneous forming of a first dental appliance and a second dental appliance on a plate in a dental appliance manufacturing system. The method further includes causing, based on the first geometry and the second geometry, one or more portions of the dental appliance manufacturing system to be configured to form the first dental appliance and the second dental appliance.

Abstract: The present invention relates to a system for controlling a group of devices, comprising: —a network of nodes interconnected in a topology to form a meshed network, and —a coordinator making it possible to communicate with the nodes in the network, in which each device is connected to a node in the network, in which each node comprises: —a receiver making it possible to receive an instruction, —an instructor making it possible to transfer an instruction to the device connected to the node, and —a transmitter making it possible to transmit the instruction to a neighboring node.

Abstract: A robot calibration system may comprise a robot with an end-of-arm tool for industrial manufacturing, an output sensor to measure an output of the robot, and a computing device running a calibration program for calibrating the robot. The calibration program may comprise a communication module to receive output data from the output sensor, and a control module to command the robot. The control module may be configured to command actuation of the end-of-arm tool at an initial input value of an electrical parameter, determine that a current output value is not within a threshold of a target value, execute an interpolation algorithm to calculate a next input value, command actuation at the next input value, determine that the current output value is within the threshold of the target value, end calibration, and log a relationship between input values and corresponding output values.

Abstract: The present invention relates to a system for controlling a group of devices, comprising: —a network of nodes interconnected in a topology to form a meshed network, and —a coordinator making it possible to communicate with the nodes in the network, in which each device is connected to a node in the network, in which each node comprises: —a receiver making it possible to receive an instruction, —an instructor making it possible to transfer an instruction to the device connected to the node, and —a transmitter making it possible to transmit the instruction to a neighbouring node.

Abstract: To provide a random device for randomly testing logic circuits, particularly microprocessors, it is necessary to use a device for transforming the occurrence probability of logic vectors to produce vectors sequences having time-changing probabilities. Such a device comprises a memory or an equivalent circuit to which are applied input logic vectors (Ve1, Ve2 . . . Vn) having respective occurrence probabilities which are different or the same and containing, in the respective areas of different range, the different categories of output vectors (Vs1, Vs2 . . . Vsi). Thereby the occurrence probability of a predetermined output vector (Vs1, Vs2 . . . Vsi) depends both on the range of the memory area wherein said vector is stored, that is to say the number of elementary positions or eight-bit bytes which are included within said area, and on the respective probabilities (pr1, pr2 . . . prn) of the input vectors (Ve1, Ve2 . . . Ven) corresponding to the addresses of the elementary positions, m1, m2 . . .