A method of identifying dental consumables including at least one of a dental blank (2) and a dental tool (3) equipped into a dental tool machine (1). The method includes: a step of colliding the dental tool (3) with the dental blank (2) or a dental blank holder of the dental tool machine (1) and a step of detecting a signal indicative of the collision. The method also includes a step of analyzing the detected signal through trained artificial intelligence; and a step of identifying the type and/or condition of at least one of the dental consumables based on the analysis.

The invention relates to a method for identifying workpieces, which preferably consist at least partly of wood, wood materials or the like, in a machining process, having the steps of: detecting at least one workpiece property prior to a machining step, uniquely assigning a workpiece category to the workpiece using the at least one detected workpiece property, and machining the workpiece in the machining step which is determined by the assigned workpiece category of the workpiece.

A control system unit for a 3-dimensional (3D) object manufacturing system is disclosed herein that comprises one or more sensors and a controller. The one or more sensors are to sense 3D-objects manufactured in the manufacturing system in accordance with product specification data and to generate sensor signals representative for the sensed 3D-objects. The controller is to determine 3D-object characteristics of said sensed 3D-objects on the basis of said sensor data signals and to issue one or more corresponding control signals to control a system actuator unit so as to act on said sensed 3D-objects in accordance with their respective determined characteristics. The controller comprises a synthetic sensor data module to generate synthetic sensor data from product specification data of 3D-objects to be manufactured with the object manufacturing system, to therewith simulate sensor data for said 3D-objects to be sensed when manufactured. The controller further comprises a trainable classification module to be trained in a supervised manner with the synthetic sensor data. Therewith human assisted configuration efforts are obviated in that the improved control system unit does not require other input than the product specification data that was already available for the purpose of actually manufacturing the 3D-products to be identified.

Systems and method for grasp execution using height maps.

A robot system (2a . . . 2d) is specified, which comprises a robot (1a, 1b) having a gripping unit (4) for collecting and placing down/throwing goods (26a, . . . 26g), wherein the goods (26a, . . . 26g) are differentiated into multiple types with respect to their dimensional stability, compressive stability, flexural rigidity, strength, their absolute weight and/or specific weight. When the goods (26a, . . . 26g) are manipulated, the robot (1a, 1b) and/or the gripping unit (4) are controlled depending on the type determined for the goods (26a, . . . 26g). Moreover, a method for operating the robot system (2a, . . . 2d) is specified.

A robot system includes a robot having a gripping unit for picking and placing down/throwing goods, wherein the goods are differentiated into multiple types with respect to their dimensional stability, compressive stability, flexural rigidity, strength, their absolute weight and/or specific weight. When the goods are manipulated, the robot and/or the gripping unit are controlled depending on the type determined for the goods. Moreover, a method operates the robot system.

A control system unit for a 3-dimensional (3D) object manufacturing system is disclosed herein that comprises one or more sensors and a controller. The one or more sensors are to sense 3D-objects manufactured in the manufacturing system in accordance with product specification data and to generate sensor signals representative for the sensed 3D-objects. The controller is to determine 3D-object characteristics of said sensed 3D-objects on the basis of said sensor data signals and to issue one or more corresponding control signals to control a system actuator unit so as to act on said sensed 3D-objects in accordance with their respective determined characteristics. The controller comprises a synthetic sensor data module to generate synthetic sensor data from product specification data of 3D-objects to be manufactured with the object manufacturing system, to therewith simulate sensor data for said 3D-objects to be sensed when manufactured. The controller further comprises a trainable classification module to be trained in a supervised manner with the synthetic sensor data. Therewith human assisted configuration efforts are obviated in that the improved control system unit does not require other input than the product specification data that was already available for the purpose of actually manufacturing the 3D-products to be identified.

A method for producing a machine component from a workpiece includes registering a dimension of a surface of the workpiece to be machined and a margin of tolerance of the dimension, generating a signature pattern for the surface to be machined, shaping the workpiece at least on the surface to be machined, where a signature pattern is simultaneously produced during the shaping, and producing a check code on the workpiece, where the signature pattern has maximum dimensions that are within the tolerance margin.