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 . . .