Abstract: A method of reading a tag located on an object, wherein the tag includes tag values associated with the object, where the method includes obtaining a first sensor output, by reading the tag using a tag reader, the first sensor output being at least one of an erroneous and incomplete representation of the tag values of the tag and includes deriving at least one tag value from the first sensor output using a model, where the model is based on a first set of sensor outputs generated by the tag reader by reading a plurality of tags and tag values associated with the plurality of tags, and where the first set of sensor outputs includes a plurality of sensor outputs, where each sensor output includes at least one of an erroneous and incomplete representation of at least one tag value of the corresponding tag.

Abstract: A procedure to train an online scheduling system using Reinforcement Learning agents to process any kind of product variant and any kind of machine configuration is disclosed. The novel approach of scheduling jobs or products in a flexible manufacturing system is to train Deep Reinforcement Learning agents with generated training data. One agent may represent a product and may autonomously guide the product through the manufacturing system, including decisions regarding resource allocations (which module should process which operation) and transport decisions. Dependent on the mode to be trained, the identical job-specification for same, job-specifications from the same cluster for similar, and job-specifications from different clusters for different are chosen. This solution may handle any product variant to be produced within the considered system.

Abstract: A method of reading a tag located on an object, wherein the tag includes tag values associated with the object, where the method includes obtaining a first sensor output, by reading the tag using a tag reader, the first sensor output being at least one of an erroneous and incomplete representation of the tag values of the tag and includes deriving at least one tag value from the first sensor output using a model, where the model is based on a first set of sensor outputs generated by the tag reader by reading a plurality of tags and tag values associated with the plurality of tags, and where the first set of sensor outputs includes a plurality of sensor outputs, where each sensor output includes at least one of an erroneous and incomplete representation of at least one tag value of the corresponding tag.

Abstract: The invention relates to a method for adjusting a protective function during operation of a machine (1), in which a transfer region (5) is monitored by a plurality of protective devices (L1, L2), the transfer region (5) being arranged between a risk region (2), in which a dangerous movement is performed by the machine (1), and a surrounding region (3), the transfer region (5) being monitored by first protective devices (L1) in respective first monitoring directions (UI) and, independently thereof, by second protective devices (L2) in respective second monitoring directions (U2), at least one of the first protective devices (L1) and at least one of the second protective devices (L2) being arranged relative to one another in such a way that the first monitoring direction (UI) of the at least one first protective device (L1) and the second monitoring device (U2) of the at least one second protective device (L2) have a point of intersection (S).

Abstract: The invention relates to a method for adjusting a protective function during operation of a machine (1), in which a transfer region (5) is monitored by a plurality of protective devices (L1, L2), the transfer region (5) being arranged between a risk region (2), in which a dangerous movement is performed by the machine (1), and a surrounding region (3), the transfer region (5) being monitored by first protective devices (L1) in respective first monitoring directions (UI) and, independently thereof, by second protective devices (L2) in respective second monitoring directions (U2), at least one of the first protective devices (L1) and at least one of the second protective devices (L2) being arranged relative to one another in such a way that the first monitoring direction (UI) of the at least one first protective device (L1) and the second monitoring device (U2) of the at least one second protective device (L2) have a point of intersection (S).